archive-analysis skillA
archive-analysis is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Save completed analyses to the knowledge system's analysis archive for future reference. Use this skill after completing any L3+ analysis, when `/run-pipeline` completes, when the user explicitly says "save this analysis" or "archive this", or automatically at the end of Step 18 (Close the Loop) in the analysis workflow. This skill captures key findings, metrics used, agents invoked, and output file paths so past work can be referenced in future sessions. Trigger whenever you finish validation o.
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: Archive Analysis ## Purpose Save a completed analysis to the knowledge system's analysis archive for future recall. Captures key findings, metrics used, agents invoked, and output file paths so that past work can be referenced in future sessions. ## When to Use - After completing an L3+ analysis (post-validation) - After `/run-pipeline` completes successfully - User says "save this analysis" or "archive this" - Automatically triggered at the end of Step 18 (Close the Loop) - **VERIFICATION MODE:** User says "verify the archive" or "show me what was captured" — read existing entry, don't create new ## Instructions ### Step 0: Determine Mode Check if this is an **archive request** (create new entry) or a **verification request** (read existing entry). **Verification signals:** - User says "verify", "check", "show me what was captured", "did it save", "was it archived" - User mentions pipeline "auto-saved" or "already completed" - No new findings mentioned — just wants to see what's already there **If verification:** Skip to Verification Mode (below). Otherwise, proceed to Step 1. ### Step 1: Gather Analysis Metadata from Session Context …
Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/archive-analysis@git:20260902.b370de6mdr add ai-analyst-lab/ai-analyst/archive-analysis@sha256:0db5873f1dc279f8Pin 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_3oyszdf5lodgdenq)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260902.b370de6 latest | 2026-09-02 | b370de6 | 10,835 B | A | view · diff |
| git:20260827.7ff2e25 | 2026-08-27 | 7ff2e25 | 11,362 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 (10835 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_3oyszdf5lodgdenq GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/archive-analysis GET https://markdownregistry.com/api/v1/blob/0db5873f1dc279f8b21c8c70062563fec61628df207058214c30641c84623d4d
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