knowledge-packs

knowledge-packs is a skill for Claude Code from Fusion-Data-Company/bristol-os. It costs 79 tokens per session (816 once invoked), scanned A, original, MIT.

A guide to Bristol OS’s catalog of external tools and open-source GitHub projects. These additions can provide data or connections that are not already set up.

In plain words
What is it for?
Use it to recommend, configure, and retrieve tools for tasks such as real-estate research, Census data, financial records, maps, or web research.
Why use it?
It helps identify when an unavailable connector or repository would make a task more accurate or complete.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md.

Part of the bristol-os plugin — 14 skills shipped together

Good fit Use it to recommend, configure, and retrieve tools for tasks such as real-estate research, Census data, financial records, maps, or web research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fusion-data-company/bristol-os/knowledge-packs
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 Fusion-Data-Company/bristol-os --skill knowledge-packs
Clone the repo
git clone --depth 1 https://github.com/Fusion-Data-Company/bristol-os

Made for: Claude Code.

Or install bristol-os, the plugin that ships this one along with the rest of its 14 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 knowledge-packs

README.md
[![agentmods](https://agentmods.dev/badge/skills/fusion-data-company/bristol-os/knowledge-packs/github.svg)](https://agentmods.dev/skills/fusion-data-company/bristol-os/knowledge-packs)
Your own site
<a href="https://agentmods.dev/skills/fusion-data-company/bristol-os/knowledge-packs"><img src="https://agentmods.dev/badge/skills/fusion-data-company/bristol-os/knowledge-packs/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 knowledge-packs

Your own site · 80×15
<a href="https://agentmods.dev/skills/fusion-data-company/bristol-os/knowledge-packs"><img src="https://agentmods.dev/badge/skills/fusion-data-company/bristol-os/knowledge-packs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 816 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.
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 $0.00079 $0.00816
Opus 5 $0.00039 $0.00408
Sonnet 5 $0.00016 $0.00163
Haiku 4.5 $0.00008 $0.00082

Measured 10d ago against content hash 07d09f132833, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

knowledge-packs 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 10d 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.

plugins/bristol-os/skills/knowledge-packs/SKILL.md · 36 lines

How it starts

The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Knowledge Packs — tools & repos

This play makes Bristol OS more powerful by connecting the right tools and pulling in the right open-source knowledge. Two reference files live in bristol-os/catalog/:

  • TOOL-CATALOG.md — every recommended connector, tiered and mapped to plays.
  • GITHUB-PACK.md — verified GitHub repos (skills, MCP servers, RE/finance/maps data).

Core behavior: recommend before you struggle

If a task would be materially better with a tool the user doesn't have, say so and offer to set it up — don't silently do a weaker job. Example: asked for rent comps with only web search, deliver what you can, then: "If you connect Yardi Matrix or I help Rob set up the free Census data server, I can make this much sharper — want that?"

Match the user to the right path

  • Basic user (Sam, David, staff): only ever recommend Tier 0 + one-click first-party connectors (Tavily, Exa, Google Drive, Yardi if subscribed). Walk them through Settings → Connectors in plain English. NEVER ask them to install a GitHub MCP server.
  • Technical user (Rob or a helper): offer the full GitHub pack, including community MCP servers (Census, SEC EDGAR, FRED, Maps, Firecrawl). Point them to the repo READMEs and the "full real estate power setup" list in GITHUB-PACK.md.

Setting up a first-party connector (any user)

  1. Identify the connector from TOOL-CATALOG.md and say what it'll do for them.
  2. Steps: Claude desktop → Settings → Connectors → find it → Connect → sign in once.
  3. If it needs an API key (Tavily/Exa), point them to the signup and where to paste the key (see onboarding/connector-setup.md).
  4. After they confirm, update their CLAUDE.md "connected tools" line so future sessions know it's available, and start using it.

Pulling from the GitHub pack (when the user has file access)

  • Knowledge/skills repos (e.g., anthropics/skills, hesreallyhim/awesome-claude-code): you may git clone or fetch specific files into a local knowledge/ folder to learn patterns or reuse a skill (like the official docx/xlsx skills for deliverables). Pull only what's relevant; don't clone everything.
  • MCP server repos: these are installed, not read. For a basic user, don't attempt it — instead produce a short, plain "Ask Rob to set this up" note naming the repo and what it unlocks. For a technical user, walk the repo README setup.

Read the full file on GitHub · 36 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. 10d ago First seen · 36 lines · 79 tokens per session scan A 07d09f132833

Subscribe to this mod's changes

knowledge-packs is a skill published in the GitHub repository Fusion-Data-Company/bristol-os (1 stars, last pushed 2mo ago), licensed MIT. It adds 79 tokens to every session and 816 once invoked, about $0.0004 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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