Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/khaledsaeed18/dotclaude/fix-cinpx skills add KhaledSaeed18/dotclaude --skill fix-cigit clone --depth 1 https://github.com/KhaledSaeed18/dotclaudeWrote 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/khaledsaeed18/dotclaude/fix-ci)<a href="https://agentmods.dev/skills/khaledsaeed18/dotclaude/fix-ci"><img src="https://agentmods.dev/badge/skills/khaledsaeed18/dotclaude/fix-ci.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00073 | $0.00730 |
| Opus 5 | $0.00036 | $0.00365 |
| Sonnet 5 | $0.00015 | $0.00146 |
| Haiku 4.5 | $0.00007 | $0.00073 |
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 5d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fix the failure CI actually reported, not the one you assume it hit. The log line that failed the job is evidence; everything else is guessing. Pull it first, reproduce it locally second, and only then change code.
Step 1: Get the real failure
# What failed, and on which commit
gh run list --limit 10
gh run view <run-id> --log-failed 2>&1 | tail -80
Read the failed step's output completely. Identify: the failing step name, the exact error, and whether the failure is in your change or in the pipeline itself (setup step, cache, runner image, flaky network). If several jobs failed, find the first failure in dependency order; downstream jobs often fail as a consequence.
If the run belongs to a PR, also check which check is required and whether the failure is new to this branch:
gh pr checks <pr-number>
git log --oneline origin/main..HEAD
Step 2: Reproduce locally
Run the failing step's actual command from the workflow file, not your usual local equivalent:
# Read the workflow to get the exact command and environment
cat .github/workflows/<workflow>.yml
- Reproduces locally: it is a code problem. Debug it normally (the
systematic-debuggingskill applies) and fix the root cause. - Passes locally, fails in CI: the difference is environmental. Compare in this order: dependency install mode (
--frozen-lockfilevs a loose local install), Node/tool versions (CI pins one; check yours), OS differences (case-sensitive paths, line endings), missing env vars or secrets, and cache staleness. State which difference explains the failure before changing anything. - Not reproducible and clearly infrastructure (runner network blip, rate limit, timeout on a step that touches nothing you changed): rerun once with
gh run rerun <run-id> --failed. If it fails the same way twice, it is not flake; go back to evidence.
Step 3: Fix the cause, not the check
Make the smallest change that addresses the named root cause. Things that are not fixes:
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.
- 5d ago First seen · 59 lines · 73 tokens per session scan A 14a38324a88c
fix-ci is a skill published in the GitHub repository KhaledSaeed18/dotclaude (5 stars, last pushed 3d ago), licensed MIT. It adds 73 tokens to every session and 730 once invoked, about $0.0004 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 2026-08-31.
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