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 skills add jerseycheese/agent-skills --skill ci-fix-with-memorygit clone --depth 1 https://github.com/jerseycheese/agent-skillsWrote 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/jerseycheese/agent-skills/ci-fix-with-memory)<a href="https://agentmods.dev/skills/jerseycheese/agent-skills/ci-fix-with-memory"><img src="https://agentmods.dev/badge/skills/jerseycheese/agent-skills/ci-fix-with-memory/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/jerseycheese/agent-skills/ci-fix-with-memory"><img src="https://agentmods.dev/badge/skills/jerseycheese/agent-skills/ci-fix-with-memory.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00101 | $0.02522 |
| Opus 5 | $0.00051 | $0.01261 |
| Sonnet 5 | $0.00020 | $0.00504 |
| Haiku 4.5 | $0.00010 | $0.00252 |
Grade A, and why
ci-fix-with-memory 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 8d 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 — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to invoke (auto-trigger)
Invoke automatically whenever:
- The user mentions CI is failing, red, or blocked
gh pr checksshows a failure- A push triggers a failed workflow run
Do NOT invoke for: local test failures (use test-fix instead), lint-only failures with an obvious single-line fix.
Self-Healing CI Pipeline with Handoff Memory
When to Use This Skill
Use this skill when:
- CI checks are failing on a PR
- You want to avoid repeating previously failed fix attempts
- You need systematic CI debugging with context preservation
- Multiple CI check types are failing (lint, tests, build, etc.)
Critical Setup
This skill requires a .handoff/ directory structure:
.handoff/
├── latest.md # Most recent session handoff
└── known-issues.md # Persistent log of failed approaches
If these don't exist, the skill will create them on first run.
Pipeline Steps
Phase 1: Ingest Context (Before ANY Action)
-
Read the handoff file
cat .handoff/latest.mdThis contains:
- What was tried in the previous session
- What worked and what didn't
- Current branch state
- Open questions or blockers
-
Read the known issues log
cat .handoff/known-issues.mdThis contains:
- Approaches that have been tried and failed
- Specific commands or fixes that don't work
- Patterns to avoid
- Environmental quirks
-
Acknowledge context Present a brief summary:
## Context Loaded ### From Previous Session [Key points from latest.md] ### Known Failed Approaches [List from known-issues.md] ### Starting Fresh Investigation
Phase 2: Get Current CI Status
-
Fetch current CI check status
gh pr checks [PR_NUMBER] -
For each failing check, get full logs
gh pr checks [PR_NUMBER] --watch # OR gh api repos/{owner}/{repo}/commits/{sha}/check-runs -
Create TodoWrite checklist
- [ ] Fix lint failures - [ ] Fix TypeScript errors - [ ] Fix test failures - [ ] Fix build errors
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.
- 8d ago First seen · 395 lines · 101 tokens per session scan A b44ba244b10c
ci-fix-with-memory is a skill published in the GitHub repository jerseycheese/agent-skills (1 stars, last pushed 7d ago), licensed MIT. It adds 101 tokens to every session and 2,522 once invoked, about $0.0005 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.
Other skills, from other repositories
investigate-ci
Investigates GitHub Actions workflow failures for any repo. Fetches recent runs, identifies failures, extracts error logs, diagnoses root causes, and suggests fixes. Use when a deploy or CI workflow fails and you need to understand why.
everr-setup-telemetry
Use when a task mentions adding or fixing telemetry, OpenTelemetry, local collector setup, debug telemetry, missing or stale spans/logs/metrics, or instrumentation verification.
chorus-parallel-debug
Parallel root-cause hypotheses from multiple agents for a reported bug. Use when the user says "parallel debug", "chorus debug", "multiple hypotheses", or "debug with all agents".
skillnote-doctor
A diagnostic tool for OpenClaw agents -- checks skill registry connectivity, AGENTS.md setup, config file validity, and installed skill health. Use when your setup seems broken, skills aren't loading, or you want to audit your agent's configuration.
actions-debugging
Use when a GitHub Actions workflow fails — diagnose the run log, identify the root cause, and apply a targeted fix.
install-gemini-code-review-action
Installs, configures, or upgrades Dazbo's PR code review & issue triage GitHub Action (gemini-review-action) in a target repository. Use when the user wants to set up, configure, or update automated AI code reviews, issue triaging, or Gemini model workflows for their GitHub repository.