Home / ai-analyst-lab / ai-analyst · .claude/skills/trace-analysis/SKILL.md · GitHub

trace-analysis skillA

trace-analysis is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Trace an analytical claim to its receipt, source, query, result, and run evidence. Use when the user asks where a number came from, wants to verify a query, or needs to inspect provenance..

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

# Trace one analysis

First invoke the `trace` skill so the machine-readable provenance record,
lightweight receipt, and shareable HTML exist. Then review the claim through
these records:

1. The output states the claim.
2. The receipt identifies the source, data snapshot, query, and artifacts.
3. The trace records how the run unfolded.
4. Logs record specific system and query events.
5. The query and result provide execution evidence.

Use `helpers.evals.trace.inspect_receipt` on
`working/trace_receipt_<analysis_id>.json` to identify missing fields and
initial query risks. Then inspect the analytical details that code cannot infer
from syntax alone: population, filters, time window, timezone, exclusions,
grain, join cardinality, missingness, referential integrity, freshness,
reconciliation, and whether the claim stays within the evidence.

For a query with a join and aggregate, test the grain directly. Compare the candidate total with a defensible reference query when one exists. A query that runs successfully may still answer the wrong question.

Save the written review beside the analysis. Report the review path and the
…

Read the whole file at its exact version.

How to install

Latest version
mdr add ai-analyst-lab/ai-analyst/trace-analysis@git:20260921.652dcb5
Exact content
mdr add ai-analyst-lab/ai-analyst/trace-analysis@sha256:3b023e936f601e29

Pin 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_qh5todsrsl3qnltx.svg)](https://markdownregistry.com/a/art_qh5todsrsl3qnltx)

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Versions

versioncommittedcommitsizeaudit
git:20260921.652dcb5 latest2026-09-21 652dcb5 1,524 BA view · diff
git:20260910.c4b91ef2026-09-10 c4b91ef 1,251 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1524 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

GitHub

ai-analyst-lab/ai-analyst · 302 stars · license MIT · pushed 2026-09-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_qh5todsrsl3qnltx
GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/trace-analysis
GET https://markdownregistry.com/api/v1/blob/3b023e936f601e29ef8cca6535c8d6f0eb92a4b1e6aade698ee42def96fc2b29

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.

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