knowledge-bootstrap skillA
knowledge-bootstrap is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Initialize session context, resolve the active dataset and context source, load resident instructions, and inventory the context available for question-specific selection. Run at the start of every session and again after /connect-data or /switch-dataset. Handles missing files gracefully, so running it when unsure is harmless..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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. Every file read MUST gracefully degrade: if the file does not exist, skip silently and note "not yet populated" in the summary. Never block the session on a missing subsystem. ### 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 …
Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/knowledge-bootstrap@git:20260910.c4b91efmdr add ai-analyst-lab/ai-analyst/knowledge-bootstrap@sha256:20102edb47ef2ee5Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_vxmnxo3vfozywyec)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260910.c4b91ef latest | 2026-09-10 | c4b91ef | 12,189 B | A | view · diff |
| git:20260902.b370de6 | 2026-09-02 | b370de6 | 12,278 B | A | view · diff |
| git:20260827.7ff2e25 | 2026-08-27 | 7ff2e25 | 13,455 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (12189 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ai-analyst-lab/ai-analyst · 302 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vxmnxo3vfozywyec GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/knowledge-bootstrap GET https://markdownregistry.com/api/v1/blob/20102edb47ef2ee5f6e57663a8138d598e92180a34e0b764e733be0430af6533
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