Review
werf/werf
Code review of a pull request, branch, or diff. An agent skill from werf/werf.
Analyze failed GitHub Action jobs for a pull request. An agent skill from benchflow-ai/skillsbench.
Install Analyze CI
$ npx skills add benchflow-ai/skillsbench --skill analyze-ci -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench analyze-ci --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/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/fix-build-agentops/environment/skills/analyze-ci .claude/skills/analyze-ci && 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 "analyze-ci" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/fix-build-agentops/environment/skills/analyze-ci into .claude/skills/analyze-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-ci", 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/benchflow-ai/skillsbench/tree/main/tasks/fix-build-agentops/environment/skills/analyze-ciType 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 benchflow-ai/skillsbench --skill analyze-ci -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench analyze-ci --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/fix-build-agentops/environment/skills/analyze-ci .agents/skills/analyze-ci && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyze-ci" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/fix-build-agentops/environment/skills/analyze-ci into .agents/skills/analyze-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-ci", 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 benchflow-ai/skillsbench --skill analyze-ci -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench analyze-ci --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/fix-build-agentops/environment/skills/analyze-ci .cursor/skills/analyze-ci && 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 "analyze-ci" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/fix-build-agentops/environment/skills/analyze-ci into .cursor/skills/analyze-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-ci", 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/benchflow-ai/skillsbench.git --path tasks/fix-build-agentops/environment/skills/analyze-ci--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 benchflow-ai/skillsbench --skill analyze-ci -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench analyze-ci --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/fix-build-agentops/environment/skills/analyze-ci .gemini/skills/analyze-ci && 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 "analyze-ci" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/fix-build-agentops/environment/skills/analyze-ci into .gemini/skills/analyze-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-ci", 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 benchflow-ai/skillsbench analyze-ciInstalls 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 benchflow-ai/skillsbench --skill analyze-ci -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/fix-build-agentops/environment/skills/analyze-ci .github/skills/analyze-ci && 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 "analyze-ci" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/fix-build-agentops/environment/skills/analyze-ci into .github/skills/analyze-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-ci", 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 benchflow-ai/skillsbench --skill analyze-ci -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench analyze-ci --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/fix-build-agentops/environment/skills/analyze-ci .opencode/skills/analyze-ci && 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 "analyze-ci" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/fix-build-agentops/environment/skills/analyze-ci into .opencode/skills/analyze-ci/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyze-ci", 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
analyze-ci- GitHub stars
- 1.8k
- Token cost
- ~240 tokens
- SKILL.md length
- 45 words
- Files
- 1
- Skills in repo
- 189
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Analyze failed GitHub Action jobs for a pull request. An agent skill from benchflow-ai/skillsbench.
- Tasks that involve CI/CD
- SKILL.md covers Prerequisites, Usage and Examples
- Calls uv and gh; reaches github.com; needs GITHUB_TOKEN
- Tasks that involve Pull requests
What it does
Analyze CI is an agent skill from benchflow-ai/skillsbench. Analyze failed GitHub Action jobs for a pull request.
Its SKILL.md is about 240 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 DevOps & Cloud, covering CI/CD and Pull requests. The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve CI/CD
- Tasks that involve Pull requests
Example prompts
- “/analyze-ci”
Requirements
- A credential in GITHUB_TOKEN
- Pre-approved tools (allowed-tools): Bash(uv run skills analyze-ci:*)
What it can do on your machine
Read from SKILL.md and the folder at commit 9a1f4dd. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
Bash(uv run skills analyze-ci:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
uvgh
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
github.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GITHUB_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Analyze CI loads about 240 tokens when it runs. Until then it costs about 16 tokens; SKILL.md has 45 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 benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 45 words, ~240 tokens.
Download SKILL.mdSave it as
.claude/skills/analyze-ci/SKILL.md (or your agent's skills folder).- name
- analyze-ci
- description
- Analyze failed GitHub Action jobs for a pull request.
- allowed-tools
- Bash(uv run skills analyze-ci:*)
Analyze CI Failures
This skill analyzes logs from failed GitHub Action jobs using Claude.
Prerequisites
- GitHub Token: Auto-detected via
gh auth token, or setGITHUB_TOKENenv var
Usage
# Analyze all failed jobs in a PR
uv run skills analyze-ci <pr_url>
# Analyze specific job URLs directly
uv run skills analyze-ci <job_url> [job_url ...]
# Show debug info (tokens and costs)
uv run skills analyze-ci <pr_url> --debugOutput: A concise failure summary with root cause, error messages, test names, and relevant log snippets.
Examples
# Analyze CI failures for a PR
uv run skills analyze-ci https://github.com/mlflow/mlflow/pull/19601
# Analyze specific job URLs directly
uv run skills analyze-ci https://github.com/mlflow/mlflow/actions/runs/12345/job/67890© benchflow-ai, Apache-2.0. 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 tasks/fix-build-agentops/environment/skills/analyze-ci of benchflow-ai/skillsbench.
Open the folder on GitHubat commit 9a1f4dd
Compare with similar skills
Analyze CI 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 |
|---|---|---|---|---|---|---|
| Analyze CI this skillbenchflow-ai/skillsbench | 1.8k | — | ~240 | Automated safety check: Pass | Apache-2.0 | |
| Reviewwerf/werf | 4.7k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| GitHub Workflow AutomationFNOSP/FlyNarwhal | 496 | 8 repos | ~5.4k | Automated safety check: Pass | AGPL-3.0 | |
| PR Reviewkimdre/doco-cd | 1.7k | — | ~311 | Automated safety check: Pass | Apache-2.0 | |
| CIaiblueprinthq/ai-blueprint | 463 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Gh Actionlive-codes/livecodes | 1.5k | — | ~1.8k | Automated safety check: Pass | MIT |
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CI
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Use the "Preview in LiveCodes" GitHub Action to generate preview playground links for pull request code changes.
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Related
Categories
Questions about Analyze CI
What does Analyze CI do?
Analyze failed GitHub Action jobs for a pull request. An agent skill from benchflow-ai/skillsbench. Analyze CI is an agent skill from benchflow-ai/skillsbench. Analyze failed GitHub Action jobs for a pull request.
When should I use Analyze CI?
Analyze CI fits situations like: tasks that involve CI/CD; tasks that involve Pull requests.
How do I install Analyze CI in Claude Code?
Run `npx skills add benchflow-ai/skillsbench --skill analyze-ci -a claude-code`. Or copy the skill folder (tasks/fix-build-agentops/environment/skills/analyze-ci in benchflow-ai/skillsbench) into .claude/skills/analyze-ci in your project. Claude Code loads it when a task matches its description.
How do I install Analyze CI in Codex?
Run `npx skills add benchflow-ai/skillsbench --skill analyze-ci -a codex`. Or copy the skill folder (tasks/fix-build-agentops/environment/skills/analyze-ci in benchflow-ai/skillsbench) into .agents/skills/analyze-ci in your project. Codex loads it when a task matches its description.
Can I use Analyze CI 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 benchflow-ai/skillsbench --skill analyze-ci -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze-ci, .gemini/skills/analyze-ci, .github/skills/analyze-ci and .opencode/skills/analyze-ci in your project.
What does Analyze CI need to run?
Going by SKILL.md and its folder, Analyze CI needs the command-line tools its instructions call (uv and gh) and credentials named GITHUB_TOKEN. Our summary lists: A credential in GITHUB_TOKEN. Its frontmatter pre-approves these tools: Bash(uv run skills analyze-ci:*).
Does Analyze CI access the network?
SKILL.md names 1 domain. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Analyze CI 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 Analyze CI use?
Analyze CI is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Analyze CI use?
About 240 tokens (SKILL.md is roughly 960 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 Analyze CI?
Skills that share tags, products or a category with Analyze CI: Review (werf/werf, 4.7k stars), GitHub Workflow Automation (FNOSP/FlyNarwhal, 496 stars), PR Review (kimdre/doco-cd, 1.7k stars) and CI (aiblueprinthq/ai-blueprint, 463 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analyze CI?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,834 GitHub stars. The repository holds 189 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.