fact-check SKILL.md skillA

fact-check from amethystluna/embedded-workbench is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add amethystluna/embedded-workbench/fact-check@git:20261018.2d04c6b

Pins git:20261018.2d04c6b in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
amethystluna/embedded-workbench
Path
skills/fact-check/SKILL.md
Versions recorded
2
Latest version
git:20261018.2d04c6b, committed Oct 18, 2026
First version recorded
Aug 29, 2026
Size
2,664 bytes
Repository stars
32
License
MIT

Use when reviewing design documents, architecture specs, technical proposals, or plans that make claims about API names, file paths, enum values, counts, or mechanism feasibility — a lightweight claim-by-claim check against the codebase with evidence. Built into embedded-workbench as the fallback when the full dsh-model-everything plugin (or its predecessor logicprobe) is not installed. NOT for state machines, protocol/retry logic, or 'always'/'never' behavioral claims that need executable…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Fact Check (fallback)

Lightweight claim verification built into this plugin. Use it when the full
`dsh-model-everything` plugin — or its predecessor `logicprobe` — is not installed.
It checks every verifiable claim in a document/plan against the codebase with
evidence, without model escalation.

## When to use

- Design docs, architecture specs, technical proposals, refactoring plans
  that name APIs, types, files, enums, counts, or mechanisms.
- Proactively when a plan will be approved (plan-mode gate) and logicprobe is
  unavailable.

## What to verify (per claim)

| Claim type | Method |
|-----------|--------|
| Numeric claims (counts, sizes, frequencies) | `grep -c` / `grep -rn` |
| API/type/enum names | Extract actual signatures/values from headers |
| File paths and line numbers | Confirm existence and content |
| Mechanism feasibility | Check language standard / compiler support |

## Process

1. Enumerate every verifiable claim (quote it verbatim).
2. Verify each against the codebase with evidence (file:line + excerpt).
3. Output per claim: claim → evidence → verdict.

## Output format

- **Claim**: <verbatim quote>
- **Evidence**: <file:line + grep/read excerpt>
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add amethystluna/embedded-workbench/fact-check@sha256:68f8c74c547e90ef

The line at the top of this page pins the label git:20261018.2d04c6b, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vpapod33b4g6wezg.svg)](https://markdownregistry.com/a/art_vpapod33b4g6wezg)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Aug 29, 2026 and Oct 18, 2026, about one every 50 days.

versioncommittedcommitsizeaudit
git:20261018.2d04c6b latest2026-10-18 2d04c6b 2,664 BA view · diff
git:20260829.1d4f8bf2026-08-29 1d4f8bf 2,560 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (2664 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

amethystluna/embedded-workbench · 32 stars · license MIT · pushed 2026-11-06 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_vpapod33b4g6wezg
GET https://markdownregistry.com/api/v1/resolve?ref=amethystluna/embedded-workbench/fact-check
GET https://markdownregistry.com/api/v1/blob/68f8c74c547e90ef5e18aee1177da1c511204e3200fcdb1fbb1d32f778e686e7

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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