What is knowledge-bootstrap?

A session-start workflow that loads project instructions, identifies the active dataset, and gathers available background information for later questions.

Use it at the start of a session, after connecting or switching datasets, or when project knowledge files may be stale or absent.

It gives analysis work the right project and dataset context without failing when optional files are missing or incomplete.

knowledge-bootstrap — Skill for Claude Code by ai-analyst-lab

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 ai-analyst-lab/ai-analyst --skill knowledge-bootstrap

Clone the repo

git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/knowledge-bootstrap/github.svg)](https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/knowledge-bootstrap)

Your own site

<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/knowledge-bootstrap"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/knowledge-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst/knowledge-bootstrap"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst/knowledge-bootstrap.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,185 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.

Model	Per session	Once invoked
Fable 5.1	$0.00061	$0.03185
Opus 5.5	$0.00024	$0.01274
Sonnet 5.5	$0.00012	$0.00637
Haiku 4.5	$0.00006	$0.00318

Measured 1mo ago against content hash 8f92eb8e0ec8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

knowledge-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.

.claude/skills/knowledge-bootstrap/SKILL.md · 272 lines

How it starts

The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Knowledge Bootstrap

Purpose

Initialize the knowledge subsystems for a new session. Resolve the active context source, load the small resident layer, and inventory the selected and compiled context that can be supplied after the user asks a question.

When to Use

At the start of any session
After /connect-data or /switch-dataset
When the system detects missing or stale knowledge files

Instructions

Load each subsystem in order. An absent optional file can be reported as "not yet populated." A configured context source that is missing, invalid or inaccessible is different: report the problem and repair the connection before relying on its business definitions. Do not silently substitute local context.

Step 1: Setup State

Read .knowledge/setup-state.yaml.

Parse setup_complete and count phases with status: "complete".
If setup_complete: false, note incomplete phases to offer /setup.
If missing: Note "Setup: not initialized -- offer /setup".

Step 2: Active Dataset

Read .knowledge/active.yaml.

If active_dataset is null or missing, note "No active dataset" and continue.
Resolve the context source first. Call resolve_context_dir(active, project_root) from helpers/knowledge/context_sync.py -> (ctx_dir, source). source: path reads the visible external store directly, without a cache. source: git uses the legacy Git cache; source: local reads .knowledge/datasets/{active}/. Load dataset knowledge (semantic/, metrics/, schema.md, quirks.md) from ctx_dir either way - the same loader, the source just differs. Report the source ("context: local" or "context: team repo @ {ref}") in the readiness summary.
Inventory from ctx_dir. Load context-policy.yaml and custom_instructions.md as the resident layer. Do not load every metric, relationship, query, and correction into the prompt by default.
Confirm these components are available:

File	Required	If Missing
`manifest.yaml`	Yes	Note "manifest missing -- not usable"
`schema.md`	Yes	Generate via `schema_to_markdown()` or profiling
`quirks.md`	No	Create empty template
`metrics/index.yaml`	No	Count as 0
`custom_instructions.md` (root) else `semantic/custom_instructions.md`	No	Skip
`verified_queries.yaml` (root) else `semantic/verified_queries.yaml`	No	Skip
`corrections.md` (root)	No	Skip
`semantic/entities.yaml`	No	Note "no semantic layer"
`semantic/relationships.yaml`	No	Skip
`semantic/dimensions.yaml`	No	Skip
`semantic/measures.yaml`	No	Skip
`semantic/filters.yaml`	No	Skip

Read the full file on GitHub · 272 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.

1mo ago Changed · +8 lines 8f92eb8e0ec8
1mo ago Changed · +14 lines 62fbe9a4f4dd
1mo ago First seen · 250 lines · 61 tokens per session scan A 20102edb47ef

Subscribe to this mod's changes

knowledge-bootstrap is a skill published in the GitHub repository ai-analyst-lab/ai-analyst (322 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 3,185 once invoked, about $0.0002 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 2026-09-12.

Analytics and metrics Memory and context

knowledge-bootstrap next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
knowledge-bootstrapai-analyst-lab/ai-analyst	Skill	322	1mo ago	MIT	A	61	Claude Code
knowledge-ingestopenclaw/openclaw	Skill	394k	yesterday	MIT	A	80	Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0	Skill	68k	2d ago	Apache-2.0	A	217	Claude Code, Codex
forgetasgeirtj/system_prompts_leaks	Skill	71k	2d ago	CC0-1.0	A	74	Claude Code, Codex
Cortexdanielmiessler/LifeOS	Skill	20k	yesterday	MIT	A	184	Claude Code
memoryopensquilla/opensquilla	Skill	7.1k	6d ago	Apache-2.0	A	44	Claude Code, Codex
ha-data-storesshiwenwen/hope-agent	Skill	1.9k	yesterday	MIT	A	115	Claude Code, Codex