Borrowing it
Nothing to install: this file belongs to llama-farm/llamafarm. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/llama-farm/llamafarm/main/.claude/skills/fix-ci/SKILL.mdgit clone --depth 1 https://github.com/llama-farm/llamafarmWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/llama-farm/llamafarm/fix-ci)<a href="https://agentmods.dev/skills/llama-farm/llamafarm/fix-ci"><img src="https://agentmods.dev/badge/skills/llama-farm/llamafarm/fix-ci/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/llama-farm/llamafarm/fix-ci"><img src="https://agentmods.dev/badge/skills/llama-farm/llamafarm/fix-ci.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.02289 |
| Opus 5 | $0.00022 | $0.01144 |
| Sonnet 5 | $0.00009 | $0.00458 |
| Haiku 4.5 | $0.00004 | $0.00229 |
Grade A, and why
fix-ci scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fix CI Skill
Automates CI troubleshooting by fetching GitHub Actions failures, analyzing logs, reproducing issues locally, and creating a fix plan for user approval.
Execution Workflow
Step 1: Prerequisites Check
Verify the GitHub CLI is installed and authenticated:
gh --version && gh auth status
If gh is not installed:
- Inform user: "GitHub CLI is required. Install with:
brew install gh" - Exit gracefully
If not authenticated:
- Inform user: "Please authenticate with:
gh auth login" - Exit gracefully
Step 2: Parse Arguments
Determine the mode based on arguments:
- No arguments (
/fix-ci): Fetch failures for the current branch only - With run-id (
/fix-ci <run-id>): Fetch specific run (bypasses branch scoping)
Step 3: Fetch Failed Run
Default mode (current branch):
BRANCH=$(git branch --show-current)
gh run list --branch "$BRANCH" --status failure --limit 1 --json databaseId,name,headBranch,workflowName,createdAt
Specific run mode:
gh run view <run-id> --json databaseId,name,headBranch,workflowName,jobs,conclusion
If no failures found:
- Report: "No failed runs found for branch
$BRANCH. CI is green!" - Optionally show recent successful runs:
gh run list --branch "$BRANCH" --limit 3 --json databaseId,conclusion,workflowName,createdAt
- Exit gracefully
Step 4: Get Failure Details
Once a failed run is identified, gather comprehensive details:
RUN_ID=<the-run-id>
# Get failed jobs with their steps
gh run view $RUN_ID --json jobs --jq '.jobs[] | select(.conclusion == "failure") | {name, conclusion, steps: [.steps[] | select(.conclusion == "failure")]}'
# Get failed step logs (critical for debugging)
gh run view $RUN_ID --log-failed 2>&1 | head -500
# Get verbose run info
gh run view $RUN_ID --verbose
Log handling:
- Truncate logs to 500 lines to avoid context overflow
- Note to user: "Showing first 500 lines of failed logs. Full logs available on GitHub."
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 295 lines · 44 tokens per session scan A 89979bcb7209
fix-ci is a skill published in the GitHub repository llama-farm/llamafarm (838 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 44 tokens to every session and 2,289 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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