Home / wanshuiyin / anti-autoresearch · GitHub

presentation-signals SKILL.md skillA

presentation-signals from wanshuiyin/anti-autoresearch is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add wanshuiyin/anti-autoresearch/presentation-signals@git:20260810.98a75fc

Pins git:20260810.98a75fc in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: wanshuiyin/anti-autoresearch
Path: skills/presentation-signals/SKILL.md
Versions recorded: 5
Latest version: git:20260810.98a75fc, committed Aug 10, 2026
First version recorded: Jun 27, 2026
Size: 40,102 bytes
Repository stars: 179
License: MIT

Checkable-ish surface presentation signals a reviewer notices first — duplicate/near-identical tables, leftover pipeline/template strings, too-few or LLM-looking figures, and page-padding. AUXILIARY ONLY and weak by design: a deterministic pass (tools/check_presentation.py — dup-table + pipeline-artifact) plus a fresh cross-model GROSS-cases-only semantic pass (thin-float, LLM-figure, page-padding), every above-info finding span-anchored to the evidence ledger (claims.json). The adjudicator…

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

# Presentation Signals — the surface tells (auxiliary, never a verdict)

Run surface signal checks for: **$ARGUMENTS** (requires `claims.json` from
`/evidence-ledger`). Emit span-anchored `presentation-signals.findings.json`. This
skill computes **no verdict**.

> ⚠️ **This skill is deliberately weak by design.** A polished paper can be
> fraudulent and a rough paper can be honest, so surface signals must **never** drive
> a verdict. Everything here is emitted under skill `presentation-signals`, which the
> adjudicator **caps at `minor`** (`SURFACE_ONLY_SKILLS` + `SURFACE_PATTERNS` in
> `tools/adjudicate_findings.py`) — at most `SOFT_FLAGS`, **never** `HARD_FLAGS`. This
> is **not an AI-text classifier**; for authorship detection use a dedicated tool
> (Pangram / GPTZero / Binoculars). Our only job is to add *"combine with the
> substantive findings and look closer"* context. See
> `references/hack-pattern-taxonomy.md` §F.

> 🔒 **Do not wrap this skill in `/loop`, `/schedule`, or `CronCreate`.** It is
> verdict-bearing input — it proposes the surface findings the deterministic
> adjudicator turns into the report. Re-firing it on a wall-clock timer adds no
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add wanshuiyin/anti-autoresearch/presentation-signals@sha256:aac2d7e2ba719983

The line at the top of this page pins the label git:20260810.98a75fc, 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](https://markdownregistry.com/badge/art_paig277twk7ydk4l.svg)](https://markdownregistry.com/a/art_paig277twk7ydk4l)

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

Versions

The registry has recorded 5 versions of this file, between Jun 27, 2026 and Aug 10, 2026, about one every 11 days.

version	committed	commit	size	audit
git:20260810.98a75fc latest	2026-08-10	98a75fc	40,102 B	A	view · diff
git:20260710.a1a963f	2026-07-10	a1a963f	39,936 B	A	view · diff
git:20260628.b35080d	2026-06-28	b35080d	39,511 B	A	view · diff
git:20260628.32ccf3d	2026-06-28	32ccf3d	43,990 B	A	view · diff
git:20260627.a70aad5	2026-06-27	a70aad5	41,708 B	A	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 (40102 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

wanshuiyin/anti-autoresearch · 179 stars · license MIT · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_paig277twk7ydk4l
GET https://markdownregistry.com/api/v1/resolve?ref=wanshuiyin/anti-autoresearch/presentation-signals
GET https://markdownregistry.com/api/v1/blob/aac2d7e2ba7199831fa2c825af720490124c3b9002929afcad0c28c098f47270

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.