fix-ci

A coding-agent workflow for finding why the current branch’s automated checks fail, fixing the underlying cause, and checking the result again.

In plain words
What is it for?
Use it to inspect failed job logs, reproduce the smallest failing command locally, fix the code or configuration, and rerun verification up to three times.
Why use it?
It turns scattered CI logs and local debugging into a repeatable process. It helps avoid hiding failures by disabling tests or fixing only symptoms.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/doidor/agentrig/fix-ci
Any agent
npx skills add doidor/agentrig --skill fix-ci
Clone the repo
git clone --depth 1 https://github.com/doidor/agentrig

Made for: Claude Code, Codex.

Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 171 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00021 $0.00171
Opus 5 $0.00010 $0.00086
Sonnet 5 $0.00004 $0.00034
Haiku 4.5 $0.00002 $0.00017

Measured 2d ago against content hash 25582128126f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 2d 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.

.agents/skills/fix-ci/SKILL.md · 18 lines

What it actually says

fix-ci (principles 5, 8)

  1. Fetch the failing job logs (prefer gh run view --log-failed).
  2. Reproduce locally with the smallest command that fails.
  3. Fix the root cause — not the symptom. Avoid disabling tests to go green.
  4. Re-run self-verify. Iterate up to 3 times; otherwise self-park.
  5. If a rule or skill should have prevented this failure, run skill-improver.
Changes

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.

  1. 2d ago First seen · 18 lines · 21 tokens per session scan A 25582128126f

Subscribe to this mod's changes

fix-ci is a skill published in the GitHub repository doidor/agentrig (5 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 171 once invoked, about $0.0001 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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