githubnext / githubnext/gh-aw-cao

[aw] AW Optimization / AI Credit Savings is missing required data

Open
#11,869 3 comments 0 reactions 0 assignees View on GitHub
agentic-workflows
Dominant language
JavaScript
Stars
3
Forks
1
Avg merge
48m
Merged PRs (30d)
853

Description

### Workflow Failure

**Workflow:** [AW Optimization / AI Credit Savings](https://github.com/githubnext/gh-aw-cao/blob/main/.github/workflows/optimization-ai-credit-optimizer.md)
**Branch:** main
**Run:** https://github.com/githubnext/gh-aw-cao/actions/runs/35033488223

> [!WARNING]
> **Missing Data Reported**: The agent reported missing data during execution.

**Missing Data:**
- **AI credit / run telemetry for workflow runs in githubnext/gh-aw-cao \(all-runs.json, top-workflows.json, repo-memory daily snapsh
\[Content truncated due to length\]**: No optimization target could be selected: all pre-downloaded data inputs for githubnext/gh-aw-cao are empty. /tmp/gh-aw/token-audit/all-runs.json has 0 runs and top-workflows.json has 0 top\_workflows for the 7-day window. All 8 daily repo-memory snapshots
\[Content truncated due to length\]
- *Context*: Agentic Workflow Optimizer \(ai-credit-optimizer worker\) attempting to select and audit the highest AI-credit-spend workflow to publish an optimization issue.
- *Alternatives*: Re-run once the token-audit collection step has populated real run data \(verify the upstream aggregation job that writes all-runs.json/top-workflows.json actually queried GitHub Actions runs\), or populate the cao-activity SQLite cache via the standard inge
\[Content truncated due to length\]

### Action Required

**Assign this issue to an agent** to debug and fix the issue.

Debug with any coding agent

Use this prompt with any coding agent (GitHub Copilot, Claude, Gemini, etc.):

````
Debug the agentic workflow failure using https://raw.githubusercontent.com/github/gh-aw/main/debug.md

The failed workflow run is at https://github.com/githubnext/gh-aw-cao/actions/runs/35033488223
````

Manually invoke the agent

Debug this workflow failure using your favorite Agent CLI and the `agentic-workflows` prompt.

- Start your agent
- Load the `agentic-workflows` skill from `.github/skills/agentic-workflows/SKILL.md` or
- Type `debug the agentic workflow optimization-ai-credit-optimizer failure in https://github.com/githubnext/gh-aw-cao/actions/runs/35033488223`

> [!TIP]
>
> Stop reporting this workflow as a failure
>
> To stop a workflow from creating failure issues, set `report-failure-as-issue: false` in its frontmatter:
> ```yaml
> safe-outputs:
> report-failure-as-issue: false
> ```
>
>

> Generated from [AW Optimization / AI Credit Savings](https://github.com/githubnext/gh-aw-cao/actions/runs/35033488223) · copilot · 36.7 AIC · [◷](https://github.com/search?q=repo%3Agithubnext%2Fgh-aw-cao+is%3Aissue+%22gh-aw-workflow-id%3A+optimization-ai-credit-optimizer%22&type=issues)
> - [x] expires on Sep 16, 2026, 11:05 PM UTC

Contributor guide

Open the contributing guide

Research direction

Start with the failed run and the workflow definition at .github/workflows/optimization-ai-credit-optimizer.md, then follow debug.md and the agentic-workflows skill referenced in the issue. Check the token-audit aggregation and cao-activity SQLite cache paths named in the report; done means the workflow receives populated telemetry data and completes without the missing-data failure.

Written by the indexing model from the issue text.

Assessment

Tech stack
github-actions, sqlite
Domain
ci-cd, data, devops
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Mostly clear
Newbie friendliness
45/100

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