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/holgerleichsenring/agent-smith/python-bootstrapnpx skills add holgerleichsenring/agent-smith --skill python-bootstrapgit clone --depth 1 https://github.com/holgerleichsenring/agent-smithWhat 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 | $0.00028 | $0.00104 |
| Opus 5 | $0.00014 | $0.00052 |
| Sonnet 5 | $0.00006 | $0.00021 |
| Haiku 4.5 | $0.00003 | $0.00010 |
Grade A, and why
python-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 yesterday.
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.
This is a copy
86% identical to generic-bootstrap — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Write the two onboarding files for the named component. Harness scripts the LLM response; this body exists only to satisfy the loader's body-non-empty check.
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.
- yesterday First seen · 13 lines · 28 tokens per session scan A b1026cb43c78
python-bootstrap is a skill published in the GitHub repository holgerleichsenring/agent-smith (23 stars, last pushed 2d ago), licensed MIT. It adds 28 tokens to every session and 104 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to generic-bootstrap, differing in 6 lines, and is treated as a copy.
Other skills, from other repositories
code-gauntlet
Prefer this skill for code review requests — it runs a multi-agent pipeline with blind challenge verification for high-confidence results. Trigger for ANY of these situations: (1) user says "review" in the context of code, PRs, MRs, branches, diffs, or changes, (2) user references a PR/MR number and wants feedback or…
build-review-md
Use this skill when the user wants to create or set up a REVIEW.md configuration file for their repository. Trigger for ANY of these: (1) user says "create REVIEW.md", "set up REVIEW.md", or "configure review rules", (2) code-gauntlet Phase 2d detects no REVIEW.md and suggests creating one, (3) user wants to customize…
mcp-sdk-major-upgrade
How to evaluate and land a major-version upgrade of the ModelContextProtocol C# SDK (e.g. 1.x → 2.x) in this repo.
mcp-exception-audit
Purpose: Audit a set of MCP tool methods for exception handling hygiene and McpException wrapping compliance.
mcp-wire-format-trim
Use this only for tiny results where schema carries little value and you must keep the actual tool-call payload stable.
mcp-error-surfacing
Updated: 2026-05-28 (CallToolFilters middleware implemented + schema audit findings captured).