agentmods.dev

wiki-domain-bootstrap

wiki-domain-bootstrap is a skill for Claude Code, Codex from badwally/TheKnowledge. It costs 20 tokens per session (512 once invoked), scanned A, original, MIT.

A workflow for creating a research area in a wiki, including its rules and starter topic pages. A research domain is a defined subject area, such as medicines for metabolic disease or AI safety.

In plain words
What is it for?
For defining inclusion and exclusion criteria, creating a policy file, seeding initial concept pages, and checking that the area is ready for source collection.
Why use it?
It gives new research areas a clear scope and filtering rules before sources and pages are added, helping prevent unrelated material from accumulating.

Skill for Claude CodeCodex

not rated 23 1mo ago A scan 20 tokens original MIT
View the source file badwally/TheKnowledge
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.

agentmods
npx agentmods add skills/badwally/theknowledge/wiki-domain-bootstrap
Any agent
npx skills add badwally/TheKnowledge --skill wiki-domain-bootstrap
Clone the repo
git clone --depth 1 https://github.com/badwally/TheKnowledge

Made for: Claude Code, Codex.

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 wiki-domain-bootstrap

README.md
[![agentmods](https://agentmods.dev/badge/skills/badwally/theknowledge/wiki-domain-bootstrap.svg)](https://agentmods.dev/skills/badwally/theknowledge/wiki-domain-bootstrap)
Your own site
<a href="https://agentmods.dev/skills/badwally/theknowledge/wiki-domain-bootstrap"><img src="https://agentmods.dev/badge/skills/badwally/theknowledge/wiki-domain-bootstrap.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 512 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00020 $0.00512
Opus 5 $0.00010 $0.00256
Sonnet 5 $0.00004 $0.00102
Haiku 4.5 $0.00002 $0.00051

Measured 4d ago against content hash 077dbd3a419d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wiki-domain-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 4d 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.

.claude/skills/wiki-domain-bootstrap/SKILL.md · 57 lines

What it actually says

What This Does

Creates a new research domain from a natural-language description: authors a policy.yaml, seeds starter concept pages, and verifies the domain is ready for source ingestion.

Reference conventions: WIKI.md § 10 (filter policy), § 10.1 (policy.yaml schema).

Usage

/wiki-domain-bootstrap "GLP-1 agonists and metabolic disease" glp1-metabolic
/wiki-domain-bootstrap "AI safety and alignment research" ai-safety

Execution Steps

  1. Check for duplicates: Search index.md and wiki/proposals/ for existing domains with overlapping scope. If one exists, ask whether to extend it or create a sibling.

  2. Bootstrap policy:

    .venv/bin/wiki bootstrap-domain "<description>" <slug>

    This runs an LLM pass to author policy.yaml with inclusion/exclusion criteria.

  3. Review policy: Read the generated .knowledge/policies/<slug>/policy.yaml. Verify:

    • domain.topic and domain.description are accurate
    • inclusion_criteria are specific and falsifiable
    • exclusion_criteria prevent scope creep Present to user and confirm or request edits.

  4. Seed concept pages (optional): If the user wants starter concepts, author 2-3 wiki/concepts/<concept>.md pages via wiki concept-add. These become the MoC anchors.

  5. Create MoC: Author a wiki/mocs/<slug>.md map-of-content page linking the starter concepts.

  6. Verify readiness: Run wiki lint --scope filter-calibration. A new domain with zero examples is expected — note that filter scores will be unreliable until 12+ examples are banked via wiki filter-correct.

Key constraints

  • All writes go through the gateway — never write policy.yaml or wiki pages directly (WIKI.md § 9).
  • bootstrap-domain is LLM-heavy; it calls the API. Inform the user before running.
  • Domain slugs are kebab-case, max 60 chars (WIKI.md § 2.1).
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. 4d ago First seen · 57 lines · 20 tokens per session scan A 077dbd3a419d

Subscribe to this mod's changes

wiki-domain-bootstrap is a skill published in the GitHub repository badwally/TheKnowledge (23 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 512 once invoked, about $0.0001 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.

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