self-surveying-literature SKILL.md skillA

self-surveying-literature from chgagne/claude-skills-research is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add chgagne/claude-skills-research/self-surveying-literature@git:20261009.6f52569

Pins git:20261009.6f52569 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
chgagne/claude-skills-research
Path
_evals/surveying-literature/self-skill/SKILL.md
Versions recorded
1
Latest version
git:20261009.6f52569, committed Oct 9, 2026
Size
17,158 bytes
Repository stars
5
License
MIT

Audit a research paper draft (LaTeX sources + .bib) for related work it should cite but does not, above all close prior work that undermines its novelty claims. Searches Semantic Scholar, arXiv, DBLP and Crossref, follows citation graphs, verifies every hit, and produces a prioritized, evidence-backed report plus BibTeX. Use when asked to find missing references/citations, check related-work coverage, test a novelty claim against prior art, do a pre-submission literature check, or anticipate…

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

# Self-surveying literature: what should this draft cite but doesn't?

Act as the best-read reviewer the paper will get. The deliverable is a short, verified, prioritized
list of missing papers. Each one comes with the reason a reviewer would raise it and where it belongs
in the draft. It is not a dump of search hits. Missing one paper that threatens the novelty claim
costs the authors more than ten marginal "could also cite" suggestions, so put recall effort into
finding close prior work and put precision effort into what you report.

## Non-negotiables

1. **No paper from memory.** Every reported paper must come from an API record retrieved in this
   session (S2, arXiv, DBLP, Crossref). Memory is welcome for deciding *what to look for*. If you
   think "Smith et al. did this around 2019", run `s2.py match "<title>"` or search for it, and use
   the retrieved metadata.
2. **Read before you claim.** Read the abstract of every paper you report. Before calling a paper a
   novelty threat, read its method section in the full text. A title alone is never enough.
3. **Make sure it is really missing.** The draft may already cite another version (arXiv vs.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add chgagne/claude-skills-research/self-surveying-literature@sha256:b0539b5b2feabba7

The line at the top of this page pins the label git:20261009.6f52569, 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_b47yqqljd2ni6dii.svg)](https://markdownregistry.com/a/art_b47yqqljd2ni6dii)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 9, 2026.

versioncommittedcommitsizeaudit
git:20261009.6f52569 latest2026-10-09 6f52569 17,158 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 (17158 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

chgagne/claude-skills-research · 5 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_b47yqqljd2ni6dii
GET https://markdownregistry.com/api/v1/resolve?ref=chgagne/claude-skills-research/self-surveying-literature
GET https://markdownregistry.com/api/v1/blob/b0539b5b2feabba78b73389c3709b38953db4056a30e7727d4d20267b919994b

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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