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 dimetron/pi-go --skill skill-pullgit clone --depth 1 https://github.com/dimetron/pi-goWrote 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/dimetron/pi-go/skill-pull)<a href="https://agentmods.dev/skills/dimetron/pi-go/skill-pull"><img src="https://agentmods.dev/badge/skills/dimetron/pi-go/skill-pull/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/dimetron/pi-go/skill-pull"><img src="https://agentmods.dev/badge/skills/dimetron/pi-go/skill-pull.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.00360 |
| Opus 5.5 | $0.00011 | $0.00144 |
| Sonnet 5.5 | $0.00006 | $0.00072 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
skill-pull 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 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.
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
Skill Pull
Download and install skills from a remote source into .pi-go/skills/.
Usage
/skill-pull <source> [skill-name]
Where source can be:
- GitHub shorthand:
user/repo - GitHub URL:
https://github.com/user/repo - Raw URL to a SKILL.md file
If skill-name is provided, only pull that specific skill.
Steps
- Parse the source argument
- For GitHub repos, use
git clone --depth 1into a temp directory - Find skill directories: look for
skills/*/SKILL.mdor.pi-go/skills/*/SKILL.mdin the cloned repo - For each found skill directory:
- Copy the entire skill directory (SKILL.md + any bundled files) to
.pi-go/skills/<name>/ - If skill-name filter was given, only copy matching skills
- If a skill with the same name exists locally, warn and skip unless the user confirms
- Copy the entire skill directory (SKILL.md + any bundled files) to
- Clean up temp directory
- Report what was pulled
Examples
/skill-pull user/repo— Pull all skills from a GitHub repo/skill-pull user/repo my-skill— Pull only the my-skill skill/skill-pull anthropics/skills— Pull from the official Anthropic skills repo
Guidelines
- Always clean up temp directories after cloning
- Never overwrite existing skills without user confirmation
- Report clearly what was installed and from where
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 · 44 lines · 28 tokens per session scan A 8075c2fa3822
skill-pull is a skill published in the GitHub repository dimetron/pi-go (211 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 360 once invoked, about $0.0001 per session on Opus 5.5. 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.
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