GitHub Agentic Workflows is a GitHub CLI extension that lets developers define AI-assisted repository automation in Markdown and run it through GitHub Actions. It is intended for tasks requiring interpretation or reasoning, such as issue triage, pull-request review, CI investigation, documentation maintenance, and dependency analysis. The catalogue entries provide skills and agents for working with these workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add github/gh-aw --skill secret-handlinggit clone --depth 1 https://github.com/github/gh-awWrote 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/github/gh-aw/secret-handling)<a href="https://agentmods.dev/skills/github/gh-aw/secret-handling"><img src="https://agentmods.dev/badge/skills/github/gh-aw/secret-handling.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high Privilege Escalation · line 3 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 36 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00019 | $0.01998 |
| Opus 5 | $0.00010 | $0.00999 |
| Sonnet 5 | $0.00004 | $0.00400 |
| Haiku 4.5 | $0.00002 | $0.00200 |
Grade A, and why
secret-handling scanned grade A with 0 findings 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 4d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
8 near-identical copies found in the catalogue:
- secret-handling — 100% identical, 0 lines differ
- secret-handling — 100% identical, 0 lines differ
- secret-handling — 100% identical, 0 lines differ
- secret-handling — 100% identical, 0 lines differ
- secret-handling — 100% identical, 0 lines differ
- secret-handling — 100% identical, 0 lines differ
- secret-handling — 100% identical, 0 lines differ
- secret-handling — 100% identical, 400 lines differ
How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context
Spawned agents have read access to the entire repository, including .env files containing live credentials. If an agent reads secrets and writes them to .squad/ files (decisions, logs, history), Scribe auto-commits them to git, exposing them in remote history. This skill codifies absolute prohibitions and safe alternatives.
Patterns
Prohibited File Reads
NEVER read these files:
.env(production secrets).env.local(local dev secrets).env.production(production environment).env.development(development environment).env.staging(staging environment).env.test(test environment with real credentials)- Any file matching
.env.*UNLESS explicitly allowed (see below)
Allowed alternatives:
.env.example(safe — contains placeholder values, no real secrets).env.sample(safe — documentation template).env.template(safe — schema/structure reference)
If you need config info:
- Ask the user directly — "What's the database connection string?"
- Read
.env.example— shows structure without exposing secrets - Read documentation — check
README.md,docs/, config guides
NEVER assume you can "just peek at .env to understand the schema." Use .env.example or ask.
Prohibited Output Patterns
NEVER write these to .squad/ files:
| Pattern Type | Examples | Regex Pattern (for scanning) |
|---|---|---|
| API Keys | OPENAI_API_KEY=sk-proj-..., GITHUB_TOKEN=ghp_... |
`[A-Z_]+(?:KEY |
| Passwords | DB_PASSWORD=super_secret_123, password: "..." |
`(?:PASSWORD |
| Connection Strings | postgres://user:pass@host:5432/db, Server=...;Password=... |
`(?:postgres |
| JWT Tokens | eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9... |
eyJ[A-Za-z0-9_-]+\.eyJ[A-Za-z0-9_-]+\.[A-Za-z0-9_-]+ |
| Private Keys | -----BEGIN PRIVATE KEY-----, -----BEGIN RSA PRIVATE KEY----- |
-----BEGIN [A-Z ]+PRIVATE KEY----- |
| AWS Credentials | AKIA..., aws_secret_access_key=... |
`AKIA[0-9A-Z]{16} |
| Email Addresses | [email protected] (PII violation per team decision) |
[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,} |
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.
- 4d ago First seen · 201 lines · 19 tokens per session scan A b9222aa13274
secret-handling is a skill published in the GitHub repository github/gh-aw (5,109 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 1,998 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
c-github
Interact with GitHub using the gh CLI and jq. Manage PRs, issues, repositories, and Actions workflows. Make raw API calls with gh api for anything not covered by built-in commands.
watch-pr
Watch a GitHub pull request for CI status, reviews, comments, merge conflicts, and terminal states using the gh-watch extension. Use when the user wants to monitor a PR, wait for CI, or track PR progress.
watch-tag
Watch a GitHub repository for new tags using the gh-watch extension. Use when the user wants to be notified when a tag is created, when a release is cut, or when a tag that includes a specific commit appears (e.g. "tell me when my merge ships in a release").
watch-branch
Watch a GitHub branch for new commits using the gh-watch extension. Use when the user wants to be notified when new commits are pushed to a branch, monitor main for merges, or track branch activity.
watch-commit
Watch a GitHub commit for CI status changes using the gh-watch extension. Use when the user wants to monitor a commit's CI checks, wait for a build to finish, or track CI progress on a specific SHA.
update-architecture-docs
Generate or update the architecture documentation in docs/content/architecture/. Use on "update architecture docs", "generate architecture documentation", "regenerate architecture docs", or after any structural change to the codebase.