context-trace skillA
context-trace is agent-read markdown (skill) from ai-analyst-lab/ai-analyst: Show which context the AI analyst would receive for a question, why each item was selected, how it is delivered, and which conflicts, stale items, or omissions need attention. Use when the user asks what context was loaded, why a definition did or did not reach an analysis, what the analyst knows about a question, or invokes /context-trace..
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
# Context trace
Build an evidence record before explaining the context.
1. Read `.knowledge/active.yaml` and confirm an active dataset exists.
2. Run the deterministic manifest builder. Replace the question and output path with the user's values:
```bash
python -m helpers.knowledge.context_manifest \
--project-root . \
--question "THE EXACT QUESTION" \
--output working/context-trace.json
```
When a live DuckDB path is available, add `--duckdb PATH`. This runs the schema guard and
excludes relevant items whose table shape no longer matches the reviewed snapshot. For another
warehouse, call `guard_context()` with the live connection and pass its result to
`build_context_manifest(quarantined=...)`.
3. Read `working/context-trace.md` and `working/context-trace.json`.
4. If `blocking` is true, stop the analysis and show the conflicting trusted definitions or
relevant schema quarantine. Ask for an approved decision or re-verification.
5. If a selected item is stale or missing a review date, name it before using it.
6. Explain the result in four parts:
- content: what information was supplied;
…Read the whole file at its exact version.
How to install
mdr add ai-analyst-lab/ai-analyst/context-trace@git:20260910.c4b91efmdr add ai-analyst-lab/ai-analyst/context-trace@sha256:90909218ab85ab89Pin 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_v7aah2rthv2xgpvo)
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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 (2195 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_v7aah2rthv2xgpvo GET https://markdownregistry.com/api/v1/resolve?ref=ai-analyst-lab/ai-analyst/context-trace GET https://markdownregistry.com/api/v1/blob/90909218ab85ab8982768a85369c8d6b2d4fab0cfeba286924b97112db6b5147
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.