log-correction skillA
log-correction is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Record analyst mistakes, fixes, and reusable learnings so future analyses never repeat an error. Fires automatically when the user corrects work ("actually it's Y", "that's wrong") or teaches a rule ("always use X", "never include test users", "remember that our fiscal year starts in February"), and manually on "log a correction", "save this mistake", "record this lesson". Writes the .knowledge store per docs/KNOWLEDGE.md..
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: Log Correction
## Purpose
Record analyst mistakes, their fixes, and reusable learnings so future analyses
learn from past errors. Runs in two modes against the same store (defined in
`docs/KNOWLEDGE.md`): **auto mode** detects corrections and learnings in the
user's messages without being asked, and **manual mode** handles explicit
"log a correction" requests with full detail.
## When to Use
- **Auto:** the user corrects your work ("that's wrong", "actually it's...",
"you used the wrong column") or teaches a reusable rule ("always use X",
"never do Y", "remember that our fiscal year starts in February") without
asking you to log anything
- **Manual:** user says "log a correction", "save this mistake", "record this
lesson", or similar
- After discovering and fixing an error mid-analysis worth preserving
## Auto Mode
Watch every user message for these signals. When one fires, capture it
immediately; the user never has to ask.
**Correction signals** (something you produced was wrong):
- "that's wrong", "that's incorrect", "actually it's...", "it should be..."
- "the column is X not Y", "you used the wrong...", "off by...",
…Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/log-correction@git:20260827.7ff2e25mdr add ai-analyst-lab/ai-analyst/log-correction@sha256:148e411a7125c496Pin 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_3hajajaxj2o6cexo)
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Versions
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 (8938 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_3hajajaxj2o6cexo GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/log-correction GET https://markdownregistry.com/api/v1/blob/148e411a7125c496388239044a86b5659dccc140128e968d537e264210e57532
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.