Fetching Circleci Logs Skill for Claude

Fetches CircleCI job logs via the v1.1 API and displays step-level output. Focuses on failed steps. Use when: CI checks fail on a PR, user shares a CircleCI job URL, user asks to check build logs, 'circleci', 'build failed', 'CI failed', 'check the logs'.

766 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

331

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/NTCoding/claude-skillz --skill fetching-circleci-logs

The instruction itself

9 sections, as written by the author

Fetching CircleCI Logs

Fetch step-level build logs from CircleCI jobs using the v1.1 API.

When to use

PR checks failed and you need to see why
User shares a CircleCI URL (e.g. https://circleci.com/gh/org/repo/169955)
User asks to investigate a CI failure

Extract job details from URL

CircleCI URLs follow this pattern:

https://circleci.com/gh/{org}/{repo}/{job_number}

Extract org, repo, and job_number from the URL. If the user provides only a job number, ask for the org/repo or check the current git remote:

git remote get-url origin | sed -E 's|.*github\.com[:/]([^/]+)/([^/.]+).*|\1/\2|'

Fetch logs

Step 1: Get the CircleCI token

grep 'token' ~/.circleci/cli.yml | awk '{print $2}'

If the file doesn't exist or has no token, tell the user to run circleci setup or set the token manually.

Step 2: Fetch job data and display step output

Run this as a single command, substituting {org}, {repo}, and {job_number}:

TOKEN=$(grep 'token' ~/.circleci/cli.yml | awk '{print $2}') && \
curl -s -H "Circle-Token: $TOKEN" \
  "https://circleci.com/api/v1.1/project/gh/{org}/{repo}/{job_number}" | \
python3 -c "
import sys, json, urllib.request
data = json.load(sys.stdin)
for step in data.get('steps', []):
    for action in step.get('actions', []):
        status = action.get('status', '')
        name = action.get('name', '')
        exit_code = action.get('exit_code')
        failed = action.get('failed', False)
        print(f'STEP: {name} | status: {status} | exit: {exit_code}')
        if failed and action.get('output_url'):
            with urllib.request.urlopen(action['output_url']) as r:
                for msg in json.load(r):
                    print(msg.get('message', '')[:2000])
"

Step 3: Analyze the output

After fetching, summarize:

Which steps failed and why
The relevant error messages (not the full log)
Suggested fix if the cause is clear

Important notes

Use API v1.1 — v2 does not return step-level output with log URLs.
The output_url is a pre-signed S3 URL — no additional auth needed to fetch it.
Truncate log messages to 2000 chars per action to avoid context window bloat.
If the API returns 404, the job number is likely wrong or the token lacks access to that project.

Mandatory Checklist

When fetching CircleCI logs, complete this checklist:

[ ] Verify the CircleCI token exists in ~/.circleci/cli.yml
[ ] Verify org, repo, and job number are correctly extracted from the URL or git remote
[ ] Verify you are using the v1.1 API (not v2)
[ ] Verify you summarized the failure cause, not just dumped raw logs

Do not proceed to suggest fixes until all checks pass.

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How to use it

Copy the folder

Take ntcoding/fetching-circleci-logs from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.