PR Babysitter
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
One-line code review comments. An agent skill from FerroxLabs/ijfw.
Install Ijfw Review
$ npx skills add FerroxLabs/ijfw --skill ijfw-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/codex/skills/ijfw-review .claude/skills/ijfw-review && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ijfw-review" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-review into .claude/skills/ijfw-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add FerroxLabs/ijfw --skill ijfw-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/codex/skills/ijfw-review .agents/skills/ijfw-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ijfw-review" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-review into .agents/skills/ijfw-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add FerroxLabs/ijfw --skill ijfw-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/codex/skills/ijfw-review .cursor/skills/ijfw-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ijfw-review" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-review into .cursor/skills/ijfw-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/FerroxLabs/ijfw.git --path codex/skills/ijfw-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add FerroxLabs/ijfw --skill ijfw-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/codex/skills/ijfw-review .gemini/skills/ijfw-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ijfw-review" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-review into .gemini/skills/ijfw-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install FerroxLabs/ijfw ijfw-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add FerroxLabs/ijfw --skill ijfw-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .github/skills && cp -r skills-src/codex/skills/ijfw-review .github/skills/ijfw-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ijfw-review" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-review into .github/skills/ijfw-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add FerroxLabs/ijfw --skill ijfw-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FerroxLabs/ijfw ijfw-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FerroxLabs/ijfw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/codex/skills/ijfw-review .opencode/skills/ijfw-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ijfw-review" agent skill from https://github.com/FerroxLabs/ijfw/tree/main/codex/skills/ijfw-review into .opencode/skills/ijfw-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ijfw-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ijfw-review- GitHub stars
- 212
- Token cost
- ~307 tokens
- SKILL.md length
- 85 words
- Files
- 1
- Skills in repo
- 38
- Repo updated
- First seen
- Licence
- MIT
At a glance
One-line code review comments. An agent skill from FerroxLabs/ijfw.
- Tasks that involve Code review
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Pull requests
What it does
Ijfw Review is an agent skill from FerroxLabs/ijfw. One-line code review comments. Trigger: review, code review, PR review, /ijfw-review
Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Code review and Pull requests. The repository describes itself as: IJFW — It Just Fcking Works. Ferrox Labs' local-first infrastructure for AI coding agents: shared memory, smart routing, multi-AI cross-audits, disciplined workflow. The licence is MIT.
When your agent uses it
- Tasks that involve Code review
- Tasks that involve Pull requests
Example prompts
- “/ijfw-review”
What it can do on your machine
Read from SKILL.md and the folder at commit eda62f3. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are gate-result).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ijfw Review loads about 307 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 85 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from FerroxLabs/ijfw at commit eda62f3, republished under its MIT licence (© FerroxLabs). 85 words, ~307 tokens.
Download SKILL.mdSave it as
.claude/skills/ijfw-review/SKILL.md (or your agent's skills folder).- name
- ijfw-review
- description
- One-line code review comments. Trigger: review, code review, PR review, /ijfw-review
Review code changes. One-line comments per finding.
Format: L<line>: <severity> <problem>. <fix>.
Severity: [bug] | [warn] | [suggest] | [nice]
Rules:
- Lead with bugs. Then warnings. Then suggestions.
- No praise for meeting baseline expectations.
- If no issues: "Clean. Reviewed N lines across bug/warn/suggest/nice gates. No findings."
- Max 10 findings unless asked for exhaustive review.
- Check: null handling, error paths, security boundaries, test coverage.
Output contract
Emit a gate-result block as the LAST content of your output. Nothing
after it. Use gate="swarm-review". Statuses: PASS | CONDITIONAL | WARN | FLAG | FAIL.
Format:
{
"schema_version": "1.0",
"gate": "swarm-review",
"status": "<STATUS>",
"project_type": "<from project-type-detector>",
"lenses": [],
"affected_artifacts": [],
"accounting": {"duration_ms": 0, "lenses_invoked": 0, "cost_usd": null},
"remediation": [],
"receipts_ref": null,
"supersedes": null,
"gate_id": "<gate-with-colons-replaced-by-dashes>-<ts>-<rand4>",
"emitted_at": "<ISO-8601>"
}© FerroxLabs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in codex/skills/ijfw-review of FerroxLabs/ijfw.
Open the folder on GitHubat commit eda62f3
Compare with similar skills
Ijfw Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ijfw Review this skillFerroxLabs/ijfw | 212 | — | ~307 | Automated safety check: Pass | MIT | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| WooCommerce Code Reviewwoocommerce/woocommerce | 11k | 3 repos | ~1.1k | Automated safety check: Pass | Custom licence | |
| Open Code Review CLIalibaba/open-code-review | 46k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| GitHub Review Iterationprisma/orm | 48k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Understand Diff AnalysisEgonex-AI/Understand-Anything | 86k | — | ~1.4k | Automated safety check: Pass | MIT |
Similar skills
WooCommerce Code Review
woocommerce/woocommerce
Reviews WooCommerce code changes against the project's standards, flagging backend PHP architecture, naming, documentation, data integrity and testing violations.
Open Code Review CLI
alibaba/open-code-review
Runs the ocr command-line tool to review Git changes, a commit or a branch comparison with an AI model, returning line-level comments and optionally applying fixes.
- Official
GitHub Review Iteration
prisma/orm
Runs a loop on a GitHub pull request: fetch review state, triage comments into actions, implement them and resolve threads, repeating until nothing actionable is left.
Understand Diff Analysis
Egonex-AI/Understand-Anything
Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.
Code Review
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Performs a comprehensive, multi-step code review of pull requests or local code changes, using iterative refinement (generation, critique, synthesis) to ensure high-quality, actionable feedback.
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Categories
Questions about Ijfw Review
What does Ijfw Review do?
One-line code review comments. An agent skill from FerroxLabs/ijfw. Ijfw Review is an agent skill from FerroxLabs/ijfw. One-line code review comments.
When should I use Ijfw Review?
Ijfw Review fits situations like: tasks that involve Code review; tasks that involve Pull requests.
How do I install Ijfw Review in Claude Code?
Run `npx skills add FerroxLabs/ijfw --skill ijfw-review -a claude-code`. Or copy the skill folder (codex/skills/ijfw-review in FerroxLabs/ijfw) into .claude/skills/ijfw-review in your project. Claude Code loads it when a task matches its description.
How do I install Ijfw Review in Codex?
Run `npx skills add FerroxLabs/ijfw --skill ijfw-review -a codex`. Or copy the skill folder (codex/skills/ijfw-review in FerroxLabs/ijfw) into .agents/skills/ijfw-review in your project. Codex loads it when a task matches its description.
Can I use Ijfw Review in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add FerroxLabs/ijfw --skill ijfw-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ijfw-review, .gemini/skills/ijfw-review, .github/skills/ijfw-review and .opencode/skills/ijfw-review in your project.
What does Ijfw Review need to run?
SKILL.md names no scripts, command-line tools or credentials: Ijfw Review is instructions for the agent only.
Does Ijfw Review access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Ijfw Review safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Ijfw Review use?
Ijfw Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ijfw Review use?
About 307 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Ijfw Review?
Skills that share tags, products or a category with Ijfw Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), WooCommerce Code Review (woocommerce/woocommerce, 11k stars), Open Code Review CLI (alibaba/open-code-review, 46k stars) and GitHub Review Iteration (prisma/orm, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ijfw Review?
FerroxLabs (a GitHub user) maintains it in FerroxLabs/ijfw, which has 212 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on October 5, 2026.
Source: FerroxLabs/ijfw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.