reproducibility-third-party-verification SKILL.md skillA
reproducibility-third-party-verification from yogsoth-ai/de-anthropocentric-research-engine is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yogsoth-ai/de-anthropocentric-research-engine/reproducibility-third-party-verification@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yogsoth-ai/de-anthropocentric-research-engine
- Path
paper-reading/skills/reproducibility-third-party-verification/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Sep 16, 2026
- First version recorded
- Aug 7, 2026
- Size
- 2,188 bytes
- Repository stars
- 508
- License
- Apache-2.0
(Proposal, unverified) Attempt to verify a paper's reported results by actually executing its released code/scripts against its own reported configuration — the only SOP in this package whose action type is code execution rather than text reading/judgment. Use this after unit-classification has extracted the paper's reported configuration/hyperparameters as classified units; "not_attempted" is a correct, common output when the paper's own reporting is too incomplete to run, not a failure of…
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
# Reproducibility Third-Party Verification (Proposal) Actually runs code to check reported results against the paper's own extracted configuration — unique action type (execution) in this package. Fills the evidence-verification × engineering-metadata gap in the evaluative-stance × content-layer matrix. ## Execution Subagent — spawned via spawn-agent skill. ## Dependency: unit-classification, not raw full_text (graph correction L20) This SOP needs the paper's reported configuration already pulled out in structured form before attempting to verify it — hence its input is `classified_units`, not `full_text` directly. An earlier graph draft had this SOP depending on nothing upstream, which meant it had no defined way to get the structured claims it needs to check. ## Proposal Status — Read Before Modifying No primary-source precedent, no inter-rater-reliability baseline. Keep "(Proposal, unverified)" in the description until real usage validates the method. Given the code-execution action type, treat any scope expansion here with more caution than the other 3 proposal SOPs. <!-- BEGIN available-tables (generated) --> ## Available SOPs | SOP | When to use | | --- | --- | …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/reproducibility-third-party-verification@sha256:423cb3092aec1927The line at the top of this page pins the label v1.0.0, 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.
[](https://markdownregistry.com/a/art_xwlmyv72ye7lodcp)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Aug 7, 2026 and Sep 16, 2026, about one every 20 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-16 | f5399c9 | 2,188 B | A | view · diff |
| v1.0.0 | 2026-08-08 | 9e46efa | 2,161 B | A | view · diff |
| git:20260807.e01509f | 2026-08-07 | e01509f | 2,112 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 (2188 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
yogsoth-ai/de-anthropocentric-research-engine · 508 stars · license Apache-2.0 · pushed 2026-10-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xwlmyv72ye7lodcp GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/reproducibility-third-party-verification GET https://markdownregistry.com/api/v1/blob/423cb3092aec1927cc85d7f5a76a7175df38fa9af8fc39bc761fdd2f04e6347e
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.