githubnext / githubnext/gh-aw-cao

[self-care:open-source-failures] SelfCare open-source failures digest for 2026-09-05 bounded snapshot

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self-care self-care:open-source-failures
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JavaScript
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Description

The seven-day public activity snapshot shows 1,618 failed runs across 7 projects, but the newest 100 failures only provide bounded evidence. The highest-priority untracked problems in this bounded set are: a repeated live-mode target-authority precheck failure blocking multiple `githubnext/gh-aw-cao` workflows, and a repeated safe-output processing failure in `Dev Practices / Well-Architected`.

**Action:** CAO maintainers should triage the two remediation issues below first; accept when the cited workflows complete successfully in a new run without the repeated signature.

Critical findings:
- Snapshot generated at `2026-09-05T12:58:54.391Z` for the last 168 hours.
- Evidence is truncated to the newest 100 failed runs, so counts below describe the bounded snapshot, not all 1,618 failures.
- In the bounded snapshot, I identified 38 defect clusters: 0 P0, 7 P1, and 31 P2.
- Existing issue coverage could not be checked because `gh issue list --json ...` failed in this sandbox, so remediation issues were limited to the two strongest P1 clusters from the bounded evidence.
- Prioritized remediation list: (1) fix missing target authority for live-mode `githubnext/gh-aw-cao` workflows, (2) investigate repeated safe-output processing failures in `Dev Practices / Well-Architected`.

Bounded snapshot summary

- Public projects scanned: 7
- Failed runs in snapshot metadata: 1,618
- Failed runs available for direct clustering here: newest 100 only
- Truncated: yes
- Cluster counts in bounded evidence:
- P0: 0
- P1: 7
- P2: 31

Top bounded clusters by recurrence:
1. `githubnext/gh-aw-cao` — shared signature `Target authority missing: add .github/workflows/cao.json to the target default branch for live mode` across 20 runs in 4 workflows.
2. `githubnext/gh-aw-cao` — `Dev Practices / Well-Architected` safe output processing failure across 5 runs.
3. `githubnext/gh-aw-cao` — `AW Optimization / AI Credit Savings` GitHub App token generation failure across 4 runs.
4. `githubnext/gh-aw-cao` — `SelfCare / Data Acquisition Audit` safe output processing failure across 4 runs.

Representative workflows and runs

- Shared target-authority cluster:
- `AW Doctor / Compiler Security` — https://github.com/githubnext/gh-aw-cao/actions/runs/33967261580
- `AW Doctor / Failures` — https://github.com/githubnext/gh-aw-cao/actions/runs/33967257198
- `AW Doctor / Upgrade` — https://github.com/githubnext/gh-aw-cao/actions/runs/33967251980
- `Dependabot / Release Trains` — https://github.com/githubnext/gh-aw-cao/actions/runs/33966283980
- Safe-output cluster:
- `Dev Practices / Well-Architected` — https://github.com/githubnext/gh-aw-cao/actions/runs/33966614627

### Control Plane
- Correlation ID: `33968361820-222`
- Central repository: `githubnext/gh-aw-cao`
- Control-plane run: https://github.com/githubnext/gh-aw-cao/actions/runs/33968361820

> Generated by [SelfCare / Open Source Failures](https://github.com/githubnext/gh-aw-cao/actions/runs/33968569409) · pi · gpt54 · 18.8 AIC · ⌖ 8.62 AIC · ⊞ 8.3K · [◷](https://github.com/search?q=repo%3Agithubnext%2Fgh-aw-cao+is%3Aissue+%22gh-aw-workflow-call-id%3A+githubnext%2Fgh-aw-cao%2Fself-care-open-source-failures%22&type=issues)
> - [x] expires on Sep 19, 2026, 1:25 PM UTC

Contributor guide

Open the contributing guide

Research direction

Start with the representative GitHub Actions runs for the target-authority and safe-output clusters, then compare their repeated failure signatures across the named workflows. Check the target default branch and the referenced .github/workflows/cao.json context before investigating the Well-Architected run. Done means a new run completes without the repeated signature.

Written by the indexing model from the issue text.

Assessment

Tech stack
github-actions
Domain
ci-cd, devops
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
35/100

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