ci-integration
>-
Works with
---
name: ci-integration
description: >-
license: CC0-1.0
---
# CI Integration
**Value:** Feedback -- CI pipelines produce signals. Deterministic interaction
patterns ensure those signals are received, classified, and acted on correctly.
Undisciplined CI interaction (pushing over failing runs, ignoring flaky tests)
degrades the signal until the pipeline is noise.
## Purpose
Teaches disciplined CI/CD interaction: one pending run at a time, structured
failure triage, automated self-healing for mechanical failures, and structured
evidence output for pipeline consumption. Prevents the most common CI failure
mode: pushing again before understanding why the last run failed.
## Practices
### Push-and-Wait Discipline
One pending CI run at a time. Never push while a run is in progress.
1. Push the commit
2. Poll or wait for the CI run to complete
3. Read the full result before taking any action
4. Only after the run completes (pass or fail) may you push again
**Do:**
- Wait for CI completion before starting new work that would require a push
- Read the complete CI output, not just the status badge
**Do not:**
- Push a "fix" while the previous run is still pending
- Assume a run will pass and push follow-up commits
- Cancel a run to push a new one (unless the run is clearly stale)
### Failure Triage
Classify every CI failure before attempting a fix. The classification
determines the fix strategy.
| Classification | Signal | Fix Strategy |
|----------------|--------|--------------|
| `test-failure` | Test assertions fail | Route to `debugging-protocol` |
| `lint-failure` | Linter or formatter errors | Auto-fix: run formatter, commit, re-push |
| `build-failure` | Compilation or dependency errors | Dependency analysis, check lockfiles |
| `flaky-test` | Test fails then passes on retry without code changes | Flag and track (see below) |
| `infra-failure` | Network, runner, or service errors | Retry (max 2), then escalate |
Read the full CI log to classify. Do not guess from the status alone.
### Self-Healing
Mechanical failures that have deterministic fixes should be resolved
automatically:
1. **Lint/format failures:** Run the project's formatter or linter with
auto-fix, commit the result, re-push. This is a single retry -- if the
formatter does not resolve the issue, classify as `build-failure`.
2. **Infra failures:** Retry the CI run (max 2 retries). If all retries fail,
escalate to the user with the infra error details.
3. **Test failures:** Never auto-retry. Route to `debugging-protocol` for
investigation. A test failure is a signal, not noise.
4. **Build failures:** Check dependency lockfiles, build configuration, and
environment differences. Do not blindly retry.
### Flaky Test Detection
A test is flaky if it passes on retry without any code changes.
When detected:
1. Flag the test with its name, file, and the failure output from the flaky run
2. Record in project memory (`.factory/audit-trail/flaky-tests.json` if
factory mode is active, or project notes otherwise)
3. Report to the user -- flaky tests erode CI trust and must be addressed
4. Do not treat a flaky pass as a real pass for quality gate purposes until
the flakiness is resolved
### Structured Output
Every CI interaction produces a `CI_RESULT` evidence packet:
```json
{
"run_id": "string (CI run identifier)",
"status": "string (passed | failed | cancelled)",
"duration": "number (seconds)",
"failure_type": "string (test-failure | lint-failure | build-failure | flaky-test | infra-failure) -- omit if passed",
"failure_details": "string (summary of failure) -- omit if passed",
"fixes_applied": ["string (description of each auto-fix applied)"],
"retry_count": "number (0 if no retries)"
}
```
This packet is consumed by pipeline orchestrators and audit trails. Always
produce it, even for passing runs.
## Enforcement Note
- **Pipeline mode**: Gating. CI pass/fail mechanically gates merge.
- **Standalone mode**: Advisory. The agent self-enforces push-and-wait
discipline.
**Hard constraints:**
- Push-and-wait: `[H]` in pipeline mode, `[RP]` in standalone
- Flaky pass not counted as real pass: `[H]`
## Constraints
- **Push-and-wait**: One pending run means one. Not "one per branch" or
"one per type of change." If a CI run is in progress, do not push
regardless of how unrelated the change seems. The discipline exists
because CI resource contention and merge ordering matter.
- **Failure classification**: Classify BEFORE attempting any fix. Not "I
tried a fix and it worked, so it must have been a lint failure." The
classification determines the fix strategy, not the other way around.
If you can't confidently classify, investigate further -- don't guess
and fix.
- **Flaky test**: A flaky test is one that produces different results on
the same code. "Passes on retry without code changes" is the definition.
If you changed the environment, the retry is not evidence of flakiness --
it's evidence of an environment-dependent test. Those are different
problems with different fixes.
## Verification
After each CI interaction, verify:
- [ ] Waited for the previous CI run to complete before pushing
- [ ] Read the complete CI output (not just status)
- [ ] Classified the failure type before attempting a fix
- [ ] Applied the correct fix strategy for the classification
- [ ] Did not retry a test failure (routed to debugging-protocol instead)
- [ ] Lint/format auto-fixes were limited to one attempt
- [ ] Infra retries did not exceed 2
- [ ] Flaky tests were flagged and recorded
- [ ] Produced a CI_RESULT evidence packet
If any criterion is not met, revisit the relevant practice before proceeding.
## Dependencies
This skill works standalone for any project with a CI/CD pipeline. It
integrates with:
- **debugging-protocol:** Test failures route to the debugging protocol for
systematic investigation rather than blind fix attempts
- **tdd:** CI failures during TDD cycles feed back into the RED-GREEN loop;
a CI test failure means the cycle is not complete
- **pipeline:** When used within factory mode, the pipeline orchestrator
consumes CI_RESULT packets to evaluate quality gates
Missing a dependency? Install with:
```
npx skills add jwilger/agent-skills --skill debugging-protocol
```More Debugging skills
diagnosing-bugs
mattpocock/skills
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow.
explore-code
lllllllama/rigorpilot-skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
safe-debug
lllllllama/rigorpilot-skills
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.

