Files
PaperClipAI/tests/runner-e2e/CHAT-FEATURES.md
T
Dotta a6afe3e230 Fix TestOps launch preflight search encoding (#18620)
## Thinking Path

> - Paperclip manages AI agents that do real work.
> - Product evals verify the saved outcome of that work.
> - TestOps plans select and dispatch these evals.
> - Operator launchers check a unique launch name before they request
work.
> - TestOps expects an encoded filter, but the launchers send plain name
text.
> - This change uses the vendor filter format in the shared TestOps API
owner.
> - The existing checks can then prevent duplicate launch requests.

## Linked Issues or Issue Description

Refs #18516, #18608, and #18542. The completion pilot registered
successfully after #18608. Its optional API launcher then stopped with
HTTP 400 in [run
41477551241](https://github.com/paperclipai/paperclip/actions/runs/41477551241).
It stopped before the launch mutation marker. No evaluation was
dispatched by that request.

The launch search API uses Base64 of UTF-8 JSON filters. The launchers
sent plain name text. I confirmed the format in the deployed public
[vendor filter
codec](https://paperclip.testops.cloud/es-testops-CICoDnkU.js) and its
launch UI. The encoded name filter displayed the existing pilot launch.
The TestOps UI separately dispatched [the genuine three-case
pilot](https://github.com/paperclipai/paperclip/actions/runs/41478906153);
this PR does not create another run or claim that pilot passed.

## What Changed

- Add the typed name-filter encoder to the existing TestOps API module.
- Use it in the backlog and completion launch preflight requests. The
full-catalog route uses the same completion adapter.
- Preserve the exact launch name, nonce, selection, authorization,
once-only markers, and no-resend behavior.
- Add protocol controls through both real launch functions. Document the
wire format.

## Verification

- Red: both new consumer controls reproduce the HTTP 400 boundary with
plain name text. The other 109 API controls pass.
- Green: all 111 API controls pass after the fix. All 166 related API,
pilot contract, and full-catalog controls pass with Node 24.22.2.
- The first broad local invocation lacked the `yaml` dependency in the
new worktree. Its failure log is retained. Reusing the existing
installed dependencies allowed all 166 controls to run and pass without
further source changes.
- The vendor-format query displayed the existing uniquely named pilot
launch in the authenticated TestOps UI. No launch POST or model call was
used for this read-only verification.
- Diff check passes. All required CI checks pass on exact head
`b55bdc6753fa042e4c2465e7b9b366b8126b4730` ([run
41480643021](https://github.com/paperclipai/paperclip/actions/runs/41480643021)).
Both current-head reviews are 5/5, with zero unresolved findings. No
TypeScript, compiled product, workflow, grader, model, clock, retry, or
evidence-boundary changes.

## Risks

The vendor can change its search format. The format is kept in the
existing provider-specific API module, and both launch consumers have
protocol controls. Existing duplicate detection and uncertain-response
refusal remain in place. The already-running UI pilot is independent of
this fix.

## Model Used

OpenAI GPT-6 through Codex assisted with reasoning, repository
inspection, code execution, and native accessibility tool use. The host
does not expose the exact model revision or context-window size.

## Checklist

- [x] I have included a thinking path that traces from project context
to this change
- [x] I have specified the model used (with version and capability
details)
- [x] I have checked ROADMAP.md and confirmed this PR does not duplicate
planned core work
- [x] I have searched GitHub for duplicate or related PRs and linked
them above
- [x] I have either linked existing issues or described the issue in-PR
following the relevant issue template
- [x] I have not referenced internal or instance-local Paperclip issues
or links
- [x] My branch name describes the change and contains no internal
Paperclip ticket id
- [x] I have run tests locally and they pass
- [x] I have added or updated tests where applicable
- [x] I have updated relevant documentation to reflect my changes
- [x] I have considered and documented risks above
- [x] All Paperclip CI gates are green
- [x] Greptile is 5/5 with no open P2s, recommendations, or follow-ups
- [x] I will address all Greptile and reviewer comments before
requesting merge
2026-11-02 10:40:23 -06:00

399 lines
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Markdown

# Chat feature evals
`chat-features` promotes two entries from the [scenario catalog](chat-scenarios/README.md)
into real Product E2E executions. The scope is deliberately small: prove the
fixture, browser interaction, independent grading and report loop before adding
more features. Catalog coverage is not live acceptance.
| Scenario | Actual user request | Independent outcome |
| --- | --- | --- |
| `tasks.create-backlog` | Add a task for Morgan to draft the launch announcement in Launch, but don't start it yet. | Exactly one task, Launch project, Morgan assignee, backlog at creation, no worker execution, usable chat link after reload. |
| `tasks.delegate-announcement` | Have Morgan write a two-sentence launch announcement using the Launch project brief, save it on the task, and send me the result here when it's finished. | Exactly one task, actual Morgan execution, current worker-authored document grounded in the project brief, task Done, automatic completion response in the original chat, usable result after reload. |
The queries are read directly from `chat-scenarios/tasks.yaml`. Context and
expected outcomes stay evaluator-side. The fixture creates a disposable company,
CEO, Morgan and Launch project through production APIs; both agents use the
shipped role instructions. The brief contains a product, date and random invitation
code absent from the user query. The browser sends one message through Agent Chat.
The harness never creates the result task, writes the announcement, completes the
task, or sends a hidden follow-up.
## Run the first slice
Follow the installation steps in [README.md](README.md#local-commands). The Codex
subscription profile uses the catalog's recorded default model and an
explicit `CODEX_AUTH_JSON` login. Load that login privately into the launcher
environment; do not print it or save it in tracked configuration. The existing
subscription fixture stages only `auth.json` in the disposable company login slot
and removes it with the isolated instance.
The local native OpenCode profile uses the current production-qualified model
and `OPENROUTER_API_KEY` through the existing encrypted company-secret fixture.
Each of the two journeys has a cell for each original profile. These four cells
remain unchanged; the TestOps profile below adds one separately named backlog cell.
```sh
pnpm test:e2e:runner:typecheck
pnpm test:e2e:runner:unit
pnpm test:e2e:runner -- --list --suite chat-features
pnpm test:e2e:runner -- --id chat-features.runner-codex-subscription.local.create-backlog --max-automatic-retries 0
pnpm test:e2e:runner -- --id chat-features.runner-codex-subscription.local.delegate-announcement --max-automatic-retries 0
pnpm test:e2e:runner -- --id chat-features.runner-opencode.local.delegate-announcement --max-automatic-retries 0
```
Run creation first and inspect its packaged report before delegation. For the original Codex
acceptance, run each cell three times against fresh fixtures on the same definition
revision. Keep every attempt, including failures; a retry does not erase one. A
fixture or product correction starts a new three-sample measurement. All cells
are explicit-only and excluded from `--all`; this does not implement or qualify
the rest of the YAML inventory.
## OpenCode TestOps integration acceptance
The additional explicit cell
`chat-features.runner-opencode-deepseek-1017.local.create-backlog` runs the same backlog
query, public fixture and saved-state oracle on native OpenCode with
`openrouter/deepseek/deepseek-v4.1-flash-1017`. It requires only the selected
`OPENROUTER_API_KEY` profile credential. The launcher stores an encrypted secret
reference for the disposable agents; no key belongs in catalog data or chat.
This selected model is a qualification candidate. Other OpenCode suites keep
their existing model, and delegation is not registered for this profile.
```sh
pnpm test:e2e:runner -- --id chat-features.runner-opencode-deepseek-1017.local.create-backlog --max-automatic-retries 0
```
Use a separately named TestOps integration-acceptance plan and launch for this
single cell. It retains one human request, one accounted controller work run,
120-second turns, a seven-minute attempt, the five-minute stable-state bound
and zero automatic retries. Morgan is created as fixture context but must not
execute the saved backlog task. Existing setup probes and unknown usage remain
reported separately. The original 244-scenario campaign, failed attempts and
Codex measurements are not reset or regraded by this measurement.
The existing normalized result, JUnit and packaged report carry the outcome to
the execution integration. Catalog selection and provider-free oracle checks
do not establish an AWS model pass or a successful TestOps upload. Accept this
integration only after the real AWS execution and its TestOps result agree.
## Bounds and grading
Creation expects one accounted native work run; delegation expects three (CEO
handoff, Morgan work, CEO completion response). Runs have a 120-second timeout
and attempts a seven-minute deadline. The visible task and completion reply must
settle within five minutes after the human request, including a five-second stable
observation. This is an independent journey acceptance bound: three runs may not
each consume their maximum timeout and still pass. The outer attempt also covers
fixture setup, reload and link checks, and evidence collection. A failed provider
run rejects immediately; the historical missing turn-start event was not a
five-minute poll timeout. Automatic retries are disabled. Company
and agent budgets are 500 cents each, CEO daily work runs are capped at three,
Morgan at one, and periodic heartbeats are disabled. Initial production hello
probes fall outside heartbeat usage and budget accounting; detailed setup tokens
and cost are unavailable. These limits are not an absolute inference or cash cap.
Subscription cost coverage must remain explicit in the report.
An obsolete CEO assignment can leave a cancelled queue entry when the CEO creates
a task and then assigns it to Morgan. Grader v2 distinguishes that entry from
provider work only when the dispatch gate records `issue_assignee_changed`, an
explicitly null start time, no native issue, and its unchanged stale-queue stop
receipt. The entry must belong to this company and the one task now assigned to
Morgan. It stays in the full observation and final ledger, with its events and an
explicit provider-log omission reason. Active, unrelated, or unproved cancellations
still fail. The three successful work runs, worker output, completion delivery,
and original deadlines remain required. Backlog creation still permits no task wake.
Because this subscription currently reports unpriced usage, setup explicitly sets
`unpricedUsagePolicy: allow` on the disposable company and both agents through the
public budget API and verifies all three policies. The 500-cent hard stops remain
enabled for reported costs; they cannot cap unknown dollar usage. Run caps and
deadlines remain independent bounds. Without this explicit funding prerequisite,
the default policy pauses the company after the first unpriced run and cancels
the delegated worker. Such a pause is not a successful chat journey.
`chat-feature.json` retains the scenario ID, capability IDs, grader version,
saved records, audit attribution, rendered links and individual checks.
`chat-feature-runs.json` uses the existing native run evidence collector, including
on failures. Setup evidence records fixture IDs, synthetic brief, readiness and
saved budgets. Ordinary Product E2E evidence packaging, redaction, cleanup, failure
classification and dashboards own the result. The definition digest includes the
query, defaults, flow and grader sources.
Individual saved-state checks are also recorded when the journey fails, so the
report shows partial progress without turning it into a passing workflow.
The grader rejects duplicate tasks, wrong owners/projects/companies, early execution,
missing audit attribution, missing or stale deliverables, extra human nudges and
uncorrelated completion replies. Document provenance binds the current revision
to Morgan's actual run. The completion check reuses `completionDelivery`; a
handoff promise or a marker alone cannot establish delivery. Chromium verifies
the task link and reload persistence.
The checks establish the specified saved state, two-sentence structure, required
brief facts and result access. They do not score writing quality or every semantic
claim in the response. Inspect the retained conversation and announcement before
accepting the first samples; the existing completion semantic-review rubric still
applies. Oracle calibration tests exercise both valid evidence and plausible wrong
outcomes without calling a model.
Only after this loop is stable should another scenario be promoted. Keep each
starting condition explicit: connected versus missing connection, allowed versus
approval-required, and so on. Reuse the fixture/report infrastructure and add a
case-specific outcome oracle; do not make all YAML paragraphs executable through
an unconstrained model judge.
## Initial measurement — 2026-10-26
Three fresh samples per cell on definition
`7fb20426ce3f1dd4efeddfb79f231336ea65a16b9c2a73bf6131e997acd74e9d`
produced **5/6 passes**: backlog creation 3/3 and delegation 2/3. These used local
native Codex subscription execution with `gpt-5.6-sol`. All six cleaned up
successfully. Both workflows have successful browser-to-provider evidence, but
the initial repeatability target is not met.
In campaign `local-2026-10-26T15-48-12-199Z`, the first CEO run in delegation
failed before creating a task: `runnerd did not report the provider turn identity`.
Retained events show submission and provider startup, followed by the transport's
turn-start deadline. The precise cause of the missing event remains unresolved;
the existing machine classification is retained without claiming that the provider
or infrastructure has been proven responsible. Investigate this before expanding
the suite. No replacement sample erased this failure.
The local `results/chat-feature-acceptance/acceptance.md` records every sample and
earlier failed revision; its sibling dashboard uses the standard report generator.
Results are ignored generated artifacts, so retain or publish them through the
existing Product E2E pipeline when handing this measurement to another machine.
### Follow-up measurement — 2026-10-26
The unchanged delegation cell subsequently passed three fresh executions:
`local-2026-10-26T16-50-50-751Z`, `local-2026-10-26T16-54-58-203Z`, and
`local-2026-10-26T16-58-39-074Z`. The latter two campaigns also ran backlog
creation concurrently and passed both cells. All five selected executions used
one attempt with zero automatic retries, retained the same definition above,
and passed cleanup. Five existing turn-identity, early-terminal and runner-exit
regressions passed as well.
These are green rechecks, not a demonstrated repair of the earlier startup
interruption: no production code, timing limits or oracle assertions changed,
and the missing turn-start event did not reproduce. Keep the original failure
in the history. Across the original final-definition batch and this recheck,
backlog is 5/5 and delegation is 5/6. The local
`results/chat-feature-recheck/verification.md` records the follow-up evidence;
its standard dashboard is explicitly scoped to the latest campaign.
## TestOps completion pilot
The separate `Chat completion TestOps` workflow connects only these preserved
catalog cases to the private Paperclip Evals project:
- `projects.project-work`
- `projects.project-defaults`
- `instance-operations.restart-service`
It evaluates the immutable catalog source in
`chat-completion-testops-contract.mjs`. This keeps the broader catalog on its
integration branch. The source includes the bounded TestOps host prerequisite
from #18515. Changing the pin requires source review. The original DeepSeek
1017 model, case clocks, independent checks, and zero retries remain fixed.
Source registration does not establish a new live result.
Run the named plan **Chat completion pilot — OpenCode 1017** in TestOps. The
adapter validates the actual project, plan, job, launch and selected cases before
build or provider access. A selected subset runs only those cases. The AWS matrix
has concurrency one and does not cancel sibling cases after a failure.
The main-only reporter uses the existing protected `ALLURE_TOKEN`; the evaluated
app and worker never receive it. Original evidence stays in the existing private
AWS storage with the unchanged validators, scanners, byte bounds and exact-key
policies. A separate trusted projection carries verdicts, checks, accounting and
private-evidence receipts. The final PNGs are verified in protected storage;
only their checksums and availability are recorded in TestOps. GitHub artifacts
contain metadata only. Raw logs, screenshots, hidden
reasoning, API snapshots, credentials and provider sessions are not attachments.
Original failed grades and cleanup failures remain failed. Same-run readback
requires matching results and complete result-owned attachment metadata within
the existing bounded processing window; it does not claim remote byte hashes.
Initial setup uses the existing workflow operations:
1. Dispatch reviewed `master` once with `operation=bootstrap`. This creates or
reconciles only the three exact automated cases and the dedicated plan. It
registers the GitHub job with an empty Allure results directory. It reuses
only the existing enabled GitHub integration from
`CHAT_TESTOPS_INTEGRATION_ID`. No model or fabricated result is created.
The observation receipt captures a closed parameter-shape inspection before
binding. Only the observed single `Branch/defaultValue` definition for
`refs/heads/master` is accepted. Bootstrap enables the job and assigns cases
while preserving that definition; the plan uses its default branch.
Assignment inspection records unassigned and existing-job counts before
binding. A single unassigned bucket must cover the exact selected cases;
foreign jobs and unknown or incomplete buckets stop before writes.
2. Read the closed registration receipt. Store its observed `binding` JSON as
`CHAT_COMPLETION_TESTOPS_BINDING` in `runner-e2e-testops-reporting`.
3. Use TestOps **Run**. For the initial operator launch, set an exact next
workflow run number in `CHAT_COMPLETION_TESTOPS_LAUNCH_RUN_NUMBER`, set a new
32-hex `CHAT_COMPLETION_TESTOPS_LAUNCH_NONCE`, then dispatch `launch-plan`
once. Its request produces the TestOps-owned `evaluate` dispatch. Do not
manually dispatch an additional evaluation after an uncertain launch.
4. Verify the fresh TestOps launch, all selected case results, source links,
independent checks, private-evidence receipts and cleanup. Inspect screenshots
through authenticated private-history retrieval. Retain earlier failed attempts.
Launch preflight searches use TestOps' typed name filter, encoded as Base64 of
UTF-8 JSON in the `search` query parameter. Plain name text returns HTTP 400.
The backlog and completion launchers share this encoding; the full-catalog
launcher uses the completion adapter. Existing nonce and once-only guards still
apply before a plan-run request.
The runtime accepts only `operation`, `ALLURE_JOB_RUN_ID` and reserved username
metadata. It rejects arbitrary source/model/budget selectors, branch workflows,
replays and foreign cases. All secret-bearing jobs recheck actual GitHub run and
actor identities. The existing one-case backlog plan remains independent.
## Full catalog in TestOps
The [Chat catalog TestOps workflow](../../.github/workflows/chat-catalog-testops.yml)
registers all 244 scenarios from the 35 YAML areas in a separate
**Chat feature catalog — OpenCode 1017 (candidate)** plan. Its source-derived
manifest is `chat-full-catalog-testops-manifest.json`. The existing backlog plan
and three-case completion pilot keep their own jobs, selections and history.
Legacy aliases reuse existing TestOps case identities without renaming them.
The catalog contains 236 Agent Chat routes, five browser boundaries, one external
assistant route and two Slack routes. An execution mapping is not a passing
measurement. Five implementations declare incomplete coverage. Six routes do not
produce the generic final PNG required by the unchanged evidence owner. Eighteen
declare additional credentials and 37 declare external inputs. These groups
overlap. Exact requirements and limitations appear in each case's preconditions.
A declared credential does not establish whether its runtime reference exists.
This lane runs the app and fixtures from candidate
`3b66c3c144360ddf32714a0742fd774b8ceafb16`. Its app and domain definitions are
unchanged from `de0941835cc8f0d01c982574ee258e110babdbeb`; the successor adds only
finite TestOps host admission. Trusted selection, evidence transfer and publishing
use the workflow's immutable master revision. Each result records both revisions.
A pass qualifies that candidate measurement, not the current master app. Other
lanes sharing a case retain their own sources. This integration does not merge
the broad catalog branch or its core fixes, reset earlier campaign ordinals, or
change the previous 196-of-244 acceptance gate.
Native execution uses OpenCode and
`openrouter/deepseek/deepseek-v4.1-flash-1017` on the existing AWS fleet. Each case
keeps its original query, oracle, run counts, clocks, budgets and zero automatic
retries. Browser boundaries and the external assistant retain their original
surfaces and may have zero native work runs. The external companion keeps its own
declared provider requirement. Setup inference and unpriced usage are not free.
Initial setup uses the existing reporting environment:
1. Dispatch reviewed master with `operation=bootstrap`. It reconciles the exact
244 cases and the dedicated plan, then registers and binds its own GitHub job.
Missing cases use one marked POST each. Existing cases retain their identities
and history. Alias conflicts, foreign selections and uncertain writes stop
setup. It makes no model call or synthetic test result.
2. Read the registration receipt. Store its compact `binding` JSON as
`CHAT_FULL_CATALOG_TESTOPS_BINDING`. It contains observed plan, job, integration
and case IDs plus registered full names, and fits one GitHub environment
variable. The job must retain its observed single `Branch/defaultValue`
definition for `refs/heads/master`.
3. Use normal TestOps **Run** for the full plan or a selected subset. The service's
actual expected case list controls execution. Do not manually dispatch another
evaluation after an uncertain request. Initial route verification uses a small
selection and does not qualify all 244 cases.
Each worker executes one case. Selections of up to three cases run serially.
Larger selections allow eight independent cases and one external-input case at
once. External-input cases remain serial because they can share QA resources.
A full run can take hours. Its elapsed time depends on setup and fleet capacity;
the declared case clocks are not a completion-time guarantee. Each worker and
report reader has a singleton private-evidence approval and exact-key AWS
session; the existing eight-cell
authority limit is unchanged. Reports wait for all selected workers. A
credential-free job then validates and merges their metadata projections. The
protected reporter uploads original outcomes and verifies every selected result,
including paginated selections over 100 cases. Failed originals and failed
cleanup remain failed beside passed results. Missing originals cannot become
fabricated measurements or a full-selection pass.
Raw evidence and final PNGs remain in protected storage. Public GitHub artifacts
and TestOps attachments contain only allowlisted provenance, checks, accounting
and private-evidence receipts. Raw conversations, screenshots, provider sessions
and credentials do not enter the public artifact path. Additional credentials
reach only cases that declare them. External inputs use the existing selected-case
private-input owner, disposable-resource checks and oracle commitments.
Unconfigured inputs remain setup blockers.
## TestOps-backed AWS backlog cell
The dedicated `Chat feature TestOps` workflow accepts only the shipped default
branch and the fixed OpenCode backlog cell. `evaluate` is the default operation
and requires TestOps' `ALLURE_JOB_RUN_ID`. A protected reporting job verifies the
project, singleton plan, assigned public workflow, selected case and current
GitHub run before any build or provider access. The evaluated process receives
no TestOps token. It retains the original one-query, one-work-run, 120-second
turn, 420-second attempt, 300-second settled-state and zero-retry limits.
Two metadata operations prepare that route. `bootstrap` registers the actual
public CI job through pinned `allurectl` with an empty results directory and
reconciles only the dedicated case and singleton plan. It produces no passing
test result. After the registered job and protected case/plan/job identifiers
are verified, `launch-plan` sends one TestOps plan-run request and exits.
The TestOps job then dispatches `evaluate`; an operator must not dispatch a
second evaluation manually. Missing or ambiguous registration and selection
metadata stops before inference.
The workflow reuses the existing AWS fleet and strict private evidence storage.
Its shipped-main authority is separate from manual candidate approval. Original
logs, provider records and failure evidence remain private. The reporting adapter
exports only a source/run-bound normalized result, JUnit and screenshots already
marked by the owned fixture screenshot producer with matching file hashes.
A separate protected reporting job converts that projection to the exact TestOps
case. Failed grades and cleanup failures remain failed.
Reporting setup uses the master-only `runner-e2e-testops-reporting` environment,
with the existing reporting token delivered through the reviewed sealed-box
bootstrap. `CHAT_TESTOPS_CASE_ID`, `CHAT_TESTOPS_PLAN_ID` and
`CHAT_TESTOPS_JOB_ID` must name the observed dedicated mapping; the numeric
`CHAT_TESTOPS_GITHUB_WORKFLOW_ID` supports TestOps' registered workflow URL.
No arbitrary source, model, case, retry or budget input is accepted.
The initial `launch-plan` administrator operation also requires a protected
`CHAT_TESTOPS_LAUNCH_RUN_NUMBER`. After registration, the trusted operator creates
this variable once with the reviewed next workflow run number and reads it back.
The launcher compares GitHub's actual run number, attempt, workflow, source and
actors before any TestOps mutation. A later dispatch or replay cannot reuse that
approved number. Missing or uncertain metadata stops; an uncertain request needs
reconciliation rather than a new send. The nonce and launch search provide
additional evidence. Normal TestOps **Run** uses `evaluate` and is independent of
this one-time administrator fence. The launch nonce is protected configuration,
not a dispatch input. Job parameter IDs are opaque. The launcher preserves the
API's exact ID/value pair for `refs/heads/master` and uses the fixed workflow's
`evaluate` default. An operation parameter is used only when the protected
`CHAT_TESTOPS_OPERATION_PARAMETER_ID` matches a returned ID with a `bootstrap`
or `evaluate` value; the launcher then sets it to `evaluate`. Other values,
duplicate IDs and conflicting configuration are rejected. No relationship to
global environment-variable IDs or names is inferred.
`CHAT_TESTOPS_INTEGRATION_ID` names the reviewed existing project GitHub
integration. The launcher verifies its project, type and enabled state, then binds
only the newly registered public job to it. It never changes integration settings
or credentials. Since the job response does not expose that association, only the
real TestOps-to-GitHub dispatch can qualify it.
After `allurectl watch` finishes, the same protected reporter checks the actual
TestOps job-run, launch, selected case, result source/status and attachment
metadata. Processing reads are bounded to 12 polls, five-second gaps and a
120-second processing deadline. Unknown or missing results remain unverified.
The check downloads no attachment content and claims no server-side attachment
byte hash. Its closed receipt is retained separately. An upload success alone
is not a passing feature result, and verifying an original failure cannot turn
that failure into a pass.
Build and worker installs use the existing reviewed report-lock policy. Only its
committed input or output lock is accepted; its authenticated correction is the
only allowed normalization. Dependency manifests, patch inputs and policy must
remain unchanged. Installs are frozen with lifecycle scripts disabled. The
credential-free build rechecks that boundary before packaging, and the worker
matches the source/lock receipt before installing. Arbitrary resolver drift is
rejected before provider access.