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 commands/cassler/awesome-claude-code-setup/autofix-prgit clone --depth 1 https://github.com/cassler/awesome-claude-code-setupWrote 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/commands/cassler/awesome-claude-code-setup/autofix-pr)<a href="https://agentmods.dev/commands/cassler/awesome-claude-code-setup/autofix-pr"><img src="https://agentmods.dev/badge/commands/cassler/awesome-claude-code-setup/autofix-pr.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 5.1 | $0.00000 | $0.00502 |
| Opus 5 | $0.00000 | $0.00251 |
| Sonnet 5 | $0.00000 | $0.00100 |
| Haiku 4.5 | $0.00000 | $0.00050 |
Grade A, and why
autofix-pr 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 6d 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.
What it actually says
Auto-Fix PR
Automatically identify and fix CI failures or review feedback on the current PR, then push the fixes.
PR: ${PR_NUMBER:-$(gh pr view --json number -q .number 2>/dev/null)}
Step 1: Get Current PR Status
# Get PR details and CI status
gh pr view --json title,body,state,statusCheckRollup,reviewDecision
# List any failing checks
gh pr checks 2>/dev/null | grep -E "fail|error" || echo "No failures found"
Step 2: Collect Feedback
# Get review comments
gh pr view --json reviews -q '.reviews[] | select(.state=="CHANGES_REQUESTED") | .body'
# Get inline comments
gh api repos/{owner}/{repo}/pulls/${PR_NUMBER}/comments \
--jq '.[] | {path: .path, line: .line, body: .body}'
Step 3: Analyze Failures
For each failing CI check:
- Identify the root cause (lint error, test failure, type error, build failure)
- Locate the affected file(s) using:
ch nlp security $(git diff --name-only origin/main...HEAD | tr '\n' ' ') ch nlp complexity $(git diff --name-only origin/main...HEAD | tr '\n' ' ') - Fix the issue — be surgical, change only what is needed to resolve the failure
For each review comment requesting changes:
- Read the comment and understand what is being asked
- Find the file and line referenced
- Apply the requested change if it is unambiguous and safe
- Skip changes that would require architectural decisions — flag those instead
Step 4: Verify Fixes
# Run the same checks that CI runs
# TypeScript
ch ts check && ch ts test
# Python
ch py lint && ch py test
# Go
ch go build && ch go test
Step 5: Push
git add -p # Review each change before staging
git commit -m "fix: address CI failures and review feedback"
git push
Step 6: Report
Summarize what was fixed, what was skipped and why, and any remaining issues that require human judgment.
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.
- 6d ago First seen · 72 lines · 0 tokens per session scan A 0ae6abc4d40a
autofix-pr is a command published in the GitHub repository cassler/awesome-claude-code-setup (267 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 502 tokens. 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.