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- GitHub Actions Fetcher
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GitHub Actions Fetcher
Fetch recent CI/CD workflow runs, statuses, and logs links for any GitHub repository directly from your AI agent.
Free
GitHub Actions Fetcher
Example session with this skill installed
Get the last 3 workflow runs for jusspound-netizen/context-bridge.
- Read your context and instructions
- Compiled the github actions fetcher
I have fetched the 3 most recent workflow runs for the repository. All recent CI processes have completed.
GitHub Actions Status: jusspound-netizen/context-bridge
| Name | Branch | Status | Conclusion | Workflow URL |
|---|---|---|---|---|
| CI | main | completed | success | View Run |
| Linting | main | completed | success | View Run |
| Deploy | main | completed | failure | View Run |
Next steps
- Review the logs for the failed
Deployrun using the provided URL. - Re-run the fetcher in 5 minutes if you trigger a new build.
- Verify the
GITHUB_PERSONAL_ACCESS_TOKENhas permission to view private logs if the link is inaccessible.
Connects securely to your tools. The creator never sees your data.
About this skill
Your CI just went red. You open GitHub, click Actions, find the failed run, scroll to the failed step, read the log, copy the error, paste it back into your agent.
This skill skips all of that.
Ask your agent "what failed on the last CI run for owner/repo?" and it fetches the run, status, and the failing step's log link directly into the conversation. No tab-switching, no copy-paste, no context loss.
What you get
- SKILL.md — the skill definition your agent reads
- scripts/run.py — the fetcher itself, stdlib-only, no pip install
- reference/setup.md — how to create a GitHub token and point the skill at it
Example
You: "Why did CI fail on jusspound-netizen/context-bridge?"
Agent: calls the skill, returns
Run #42 — failure — failed step: "pytest tests/" Log: https://github.com/.../runs/42#step:3:12 Conclusion: 3 tests failed in test_parser.py
Requires
- A GitHub Personal Access Token with
actions:readscope - Set as GITHUB_PERSONAL_ACCESS_TOKEN environment variable
(The setup guide walks you through creating it in 2 minutes.)
What it does not do
- No network calls beyond the GitHub API you already trust
- No dependencies — runs on a clean Python 3.9+ install
- No data stored, no logs uploaded anywhere
Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for DevOps & Cloud.
Requires GITHUB_PERSONAL_ACCESS_TOKEN environment variable. Limited to repository-level workflow runs.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before buying a skill.
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- Free with an Agensi account
- Accounts
GitHub
Needs a GitHub Personal Access Token (actions:read scope) set as GITHUB_PERSONAL_ACCESS_TOKEN. The 2-minute setup guide is in reference/setup.md.
Permissions
Allowed Hosts