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 zacharygcook/agent-skills --skill setup-agent-skillsgit clone --depth 1 https://github.com/zacharygcook/agent-skillsWrote 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/zacharygcook/agent-skills/setup-agent-skills)<a href="https://agentmods.dev/skills/zacharygcook/agent-skills/setup-agent-skills"><img src="https://agentmods.dev/badge/skills/zacharygcook/agent-skills/setup-agent-skills/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/zacharygcook/agent-skills/setup-agent-skills"><img src="https://agentmods.dev/badge/skills/zacharygcook/agent-skills/setup-agent-skills.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00070 | $0.00922 |
| Opus 5 | $0.00035 | $0.00461 |
| Sonnet 5 | $0.00014 | $0.00184 |
| Haiku 4.5 | $0.00007 | $0.00092 |
Grade A, and why
setup-agent-skills 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Set Up Agent Skills
Act as a post-install concierge. Diagnose first, recommend a small repository-specific flight plan, and use the upstream Skills CLI for installation instead of reimplementing its agent path registry.
Run the read-only doctor
From any directory, point the bundled standard-library Python tool at the target repository:
python3 <skill-dir>/scripts/doctor.py --repo <repository>
Use --format json when another tool or agent will consume the result. Add one or more --pack
options when the user names an outcome; run --list-packs to see pack IDs. Use repeated --skill
and --agent options for an exact installation plan. The doctor never reads secret values and does
not change the machine or repository unless --install --yes and an explicit agent target are set.
Onboarding workflow
- Run the doctor before asking broad setup questions.
- Present detected agents with confidence, repository signals with evidence, relevant skills, and missing conditional prerequisites.
- Explain why each recommended skill fits. Do not recommend a skill only because it exists.
- Default to project-local vendoring under
.agents/skills/for reproducible team behavior. Use global scope only when the user explicitly wants personal defaults across repositories. - Ask for approval on the exact skill set, scope, and agent targets before installation.
- After approval, either run the printed version-pinned
npx [email protected] add ...command or rerun the doctor with--install --yes. The doctor delegates actual placement and lockfile behavior to the Skills CLI. - Rerun the doctor, verify the installed set, and offer one immediate first win—normally a read-only
$agent-readinessaudit.
Interpret prerequisite states
- Ready: required capabilities are present.
- Ready with fallbacks: the skill works, but an optional renderer, CLI, or richer output is absent.
- Needs provider: an external provider/MCP capability is not discoverable; do not invent results.
- Needs setup: a genuinely required local capability is missing.
- Not applicable: repository evidence does not currently match the skill unless the user selected a pack explicitly.
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.
- 11d ago First seen · 79 lines · 70 tokens per session scan A d0dc1ccd707e
setup-agent-skills is a skill published in the GitHub repository zacharygcook/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 922 once invoked, about $0.0003 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 2026-08-31.
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