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 agentmods add skills/bahayonghang/my-ai-cli-toolkit/gh-bootstrapnpx skills add bahayonghang/my-ai-cli-toolkit --skill gh-bootstrapgit clone --depth 1 https://github.com/bahayonghang/my-ai-cli-toolkitWrote 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/bahayonghang/my-ai-cli-toolkit/gh-bootstrap)<a href="https://agentmods.dev/skills/bahayonghang/my-ai-cli-toolkit/gh-bootstrap"><img src="https://agentmods.dev/badge/skills/bahayonghang/my-ai-cli-toolkit/gh-bootstrap.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00041 | $0.00585 |
| Opus 5 | $0.00020 | $0.00293 |
| Sonnet 5 | $0.00008 | $0.00117 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
gh-bootstrap scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
In the commands below,
<skill-dir>is this skill's base directory, announced when the skill loads. Substitute the literal path; it is not an environment variable. The runtime scriptgh_bootstrap_runtime.pyis the only execution engine — never hand-roll the detect / fetch / render / validate steps.
- Ask the user for communication language and template language preference, plus the desired mode: quick (sensible defaults, minimal interaction), custom (choose specific templates), or full (all available templates).
- Detect languages, frameworks, and existing GitHub files with
python "<skill-dir>/scripts/gh_bootstrap_runtime.py" detect "$ARGUMENTS"before planning. If detection returns no languages (empty project or unrecognized stack), ask the user to specify the primary language manually instead of guessing. - Call
AskUserQuestionto collect necessary configuration variables (project name, GitHub owner/repo, author, license, and any component-specific values). - Scan for existing config files and plan conflict resolution. Never overwrite existing files without explicit user approval.
- Read
specs/template-catalog.mdto map required files to repository URLs, then usepython "<skill-dir>/scripts/gh_bootstrap_runtime.py" fetch-template ...to download the chosen template sources. If a template download fails (network error, 404, timeout), report which template failed and offer to skip it or retry. - Render files with
python "<skill-dir>/scripts/gh_bootstrap_runtime.py" render-template ...so placeholder replacement is deterministic. - Validate the generated tree with
python "<skill-dir>/scripts/gh_bootstrap_runtime.py" validate-tree <target-root>and refuse completion if unreplaced{{placeholders}}remain.
Mandatory Rules
- NEVER write config files from memory; MUST render from downloaded templates.
- ALWAYS replace
{{variable}}placeholders (e.g.{{projectName}}); NEVER alter GitHub Actions expressions (${{ github.* }},${{ secrets.* }}) or action version pins (e.g.@v4). The renderer only substitutes{{...}}. - Output targets
.github/workflows/, issue templates, PR templates, and baseline community files.
What ships with it
4 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.
- 5d ago First seen · 30 lines · 41 tokens per session scan A 6d1d45c3c36c
gh-bootstrap is a skill published in the GitHub repository bahayonghang/my-ai-cli-toolkit (16 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 585 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
github-actions-ci
Structure GitHub Actions workflows — jobs, steps, caching, matrix builds, secrets, and a quality gate that blocks merges.
github-workflows
Use when doing GitHub work end-to-end: auth, repository setup, issue triage, PR implementation, code review, CI monitoring, merge/release, and fallback REST workflows.
github-release-management
Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management.
github-workflow-automation
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management.
developer-security
Security best practices for gh-aw workflows and Go code: template injection prevention, shell script security, supply chain hardening, and static analysis integration.
ci-validation-gates
Defensive CI/CD patterns: semver validation, token checks, retry logic, draft detection — earned from v0.8.22.