Borrowing it
Nothing to install: this file belongs to dallay/agentsync. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dallay/agentsync/main/.agents/skills/github-actions/SKILL.mdgit clone --depth 1 https://github.com/dallay/agentsyncWrote 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/skills/dallay/agentsync/github-actions)<a href="https://agentmods.dev/skills/dallay/agentsync/github-actions"><img src="https://agentmods.dev/badge/skills/dallay/agentsync/github-actions/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dallay/agentsync/github-actions"><img src="https://agentmods.dev/badge/skills/dallay/agentsync/github-actions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 232 Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
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 | $0.00061 | $0.03551 |
| Opus 5.5 | $0.00024 | $0.01420 |
| Sonnet 5.5 | $0.00012 | $0.00710 |
| Haiku 4.5 | $0.00006 | $0.00355 |
Grade A, and why
github-actions scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sf https://example.com/health || exit 1 Copies of this mod
1 near-identical copy found in the catalogue:
- github-actions — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 396 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
- Creating or editing GitHub Actions workflow files (
.github/workflows/*.yml) - Reviewing CI/CD pipelines for security, performance, or correctness
- Setting up automated testing, building, or deployment pipelines
- Troubleshooting failing or flaky GitHub Actions workflows
- Designing deployment strategies (staging, production, blue/green, canary)
Critical Patterns
- Pin Actions to Commit SHA: Always use full commit SHA, never mutable tags (
@v4,@main). Add version as comment:uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1. Tags can be silently moved to compromised commits (supply chain attack). - Least Privilege
GITHUB_TOKEN: Setpermissions: contents: readat workflow level. Grant write only where explicitly needed, per-job. - Secrets via
secretsContext Only: Never hardcode sensitive data. Use${{ secrets.NAME }}. Use environment secrets for deployment targets with manual approvals. - OIDC Over Static Credentials: Use OpenID Connect for cloud auth (AWS, Azure, GCP) instead of long-lived access keys.
- Cache Dependencies: Use
actions/cachewithhashFiles()keys fornode_modules, pip, Maven, etc. to dramatically speed up builds. - Shallow Clone: Use
fetch-depth: 1inactions/checkoutunless full history is needed. - Fail Fast on Security: Integrate dependency review and SAST (CodeQL) as blocking checks.
- Environment Protection: Use GitHub Environments with required reviewers and branch restrictions for staging/production deploys.
Workflow Structure
name: CI/CD Pipeline
on:
push:
branches: [ main ]
pull_request:
branches: [ main ]
workflow_dispatch:
inputs:
environment:
description: 'Deploy target'
required: false
default: 'staging'
type: choice
options: [ staging, production ]
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
permissions:
contents: read # Least privilege default
jobs:
lint:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
with:
fetch-depth: 1
- uses: actions/setup-node@3235b876344d2a9aa001b8d1453c930bba69e610 # v3.9.1
with:
node-version: 20
cache: 'npm'
- run: npm ci
- run: npm run lint
test:
runs-on: ubuntu-latest
needs: lint
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
- uses: actions/setup-node@3235b876344d2a9aa001b8d1453c930bba69e610 # v3.9.1
with:
node-version: 20
cache: 'npm'
- run: npm ci
- run: npm test -- --coverage
- uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
if: always()
with:
name: test-results
path: coverage/
retention-days: 14
build:
runs-on: ubuntu-latest
needs: test
outputs:
artifact_name: ${{ steps.package.outputs.name }}
steps:
- uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4.3.1
- uses: actions/setup-node@3235b876344d2a9aa001b8d1453c930bba69e610 # v3.9.1
with:
node-version: 20
cache: 'npm'
- run: npm ci
- run: npm run build
- name: Package application
id: package
run: |
zip -r dist.zip dist
echo "name=dist.zip" >> "$GITHUB_OUTPUT"
- uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
with:
name: app-build
path: dist.zip
retention-days: 30
deploy-staging:
runs-on: ubuntu-latest
needs: build
if: github.ref == 'refs/heads/main'
environment:
name: staging
url: https://staging.example.com
steps:
- uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
with:
name: app-build
- name: Deploy to staging
env:
DEPLOY_TOKEN: ${{ secrets.STAGING_DEPLOY_TOKEN }}
run: |
unzip dist.zip
echo "Deploying to staging..."
# ./deploy.sh --env staging
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 396 lines · 61 tokens per session scan A 0f863e072471
github-actions is a skill published in the GitHub repository dallay/agentsync (70 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 3,551 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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hatch3r-gh-agentic-workflows
Sets up CI/CD agentic workflows for continuous AI-powered repository automation (GitHub Actions, Azure Pipelines, GitLab CI).
hatch3r-ci-pipeline
Designs and optimizes CI/CD pipelines. Covers stage design, test parallelization, artifact management, and pipeline performance.