bootstrap

bootstrap is a skill for Claude Code from snapsynapse/skill-provenance. It costs 91 tokens per session (1,084 once invoked), scanned A, original, MIT.

A one-time setup procedure for adding version tracking to an existing skill bundle. It creates a MANIFEST.yaml file, adds version information where appropriate, and starts a changelog.

In plain words
What is it for?
Use it when a directory contains SKILL.md but lacks a manifest, version headers, and changelog. It inventories related evaluations, scripts, generated files, and source material before setting an initial version.
Why use it?
It gives an untracked skill bundle a defined identity and an inventory of its files. That makes later changes easier to verify and understand.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex; mentions Gemini CLI.

Part of the skill-provenance plugin — 6 skills shipped together

Good fit Use it when a directory contains SKILL.md but lacks a manifest, version headers, and changelog. It inventories related evaluations, scripts, generated files, and source material before setting an initial version.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/snapsynapse/skill-provenance/bootstrap
Install

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.

Any agent
npx skills add snapsynapse/skill-provenance --skill bootstrap
Clone the repo
git clone --depth 1 https://github.com/snapsynapse/skill-provenance

Made for: Claude Code.

Or install skill-provenance, the plugin that ships this one along with the rest of its 6 skills.

Wrote 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.

agentmods badge for bootstrap

README.md
[![agentmods](https://agentmods.dev/badge/skills/snapsynapse/skill-provenance/bootstrap/github.svg)](https://agentmods.dev/skills/snapsynapse/skill-provenance/bootstrap)
Your own site
<a href="https://agentmods.dev/skills/snapsynapse/skill-provenance/bootstrap"><img src="https://agentmods.dev/badge/skills/snapsynapse/skill-provenance/bootstrap/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.

agentmods 80×15 button for bootstrap

Your own site · 80×15
<a href="https://agentmods.dev/skills/snapsynapse/skill-provenance/bootstrap"><img src="https://agentmods.dev/badge/skills/snapsynapse/skill-provenance/bootstrap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,084 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

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 →

  • medium Excessive Agency · line 30
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.01084
Opus 5.5 $0.00036 $0.00434
Sonnet 5.5 $0.00018 $0.00217
Haiku 4.5 $0.00009 $0.00108

Measured 1mo ago against content hash f58012b0cc7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 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.

skills/bootstrap/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Provenance: Bootstrap

Add provenance tracking to an existing unversioned skill bundle. This is a one-time operation that creates the initial manifest, version headers, and changelog.

When to use

Run /skill-provenance:bootstrap when you have a skill directory that contains a SKILL.md but lacks MANIFEST.yaml. This is the entry point for adopting Skill Provenance on an existing project.

If the bundle already has a MANIFEST.yaml, use /skill-provenance:open instead.

Protocol

  1. Inventory all files. Read the directory structure yourself — do not ask the user to list files. Identify:

    • SKILL.md (required — if missing, this isn't a skill bundle)
    • Evals files (e.g., evals.json)
    • Scripts (e.g., generate.js, validate.sh)
    • Output artifacts (.docx, .pdf)
    • Source material provided by the user
    • Any other files present
  2. Propose version numbers. Ask the user what version to assign. If there's a handoff note, git history, or other context suggesting prior versions, propose a number based on that history. Default to 1.0.0 for the bundle and 1 for individual files if no history exists.

  3. Add internal version headers to files that can safely carry YAML frontmatter. Use the metadata block pattern for SKILL.md:

    ---
    name: skill-name
    description: What the skill does.
    metadata:
      skill_bundle: skill-name
      file_role: skill
      version: 1
      version_date: 2026-04-11
      previous_version: null
      change_summary: Initial versioned release.
    ---
    

    For files that cannot safely carry frontmatter (.json, .sh, binaries), the manifest tracks their version — no modification needed.

  4. Determine frontmatter mode. Maintain the canonical source in frontmatter_mode: metadata when richer provenance is useful. For Codex, Gemini CLI, or another strict loader, derive a minimal-frontmatter install copy rather than weakening the canonical source in place. If the user explicitly wants one strict-only bundle, minimal is valid.

Read the full file on GitHub · 119 lines

Changes

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.

  1. 1mo ago First seen · 119 lines · 91 tokens per session scan A f58012b0cc7b

Subscribe to this mod's changes

bootstrap is a skill published in the GitHub repository snapsynapse/skill-provenance (7 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 1,084 once invoked, about $0.0004 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 2026-08-31.