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Agent skill · Audited from source

Dedupe Rank

skill · WILLOSCAR/research-units-pipeline-skillsLicence not declaredAudited 19 Oct 2026 · source 81994516a430

★ 513pushed 14 days ago
✓SAFEGrade B · 89/100 · 19 Oct 2026 · 8199451
513repo stars · whole WILLOSCAR/research-units-pipeline-skills

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 81994516a430 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Use when a broad paper candidate pool needs deterministic deduplication and a stable core set.

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Cite this page

ModelsAtlas. “Dedupe Rank (WILLOSCAR/research-units-pipeline-skills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/willoscar/dedupe-rank

Trust audit

Audit 0.4.1 · source read 19 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high1 medium1 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityWARN2
L1 Static sourceSecrets, path traversal, supply chain, hidden codePASS0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass, no license.

Findings (2)

LOWInventory / provenanceinv.no_license
F-13 Inventory / provenanceCWE-1104Layer L0
Why
no LICENSE file and no repo licence
Fix
add a licence

Audit 0.4.1 · source sha 81994516a430 · 19 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherWILLOSCAR GitHub userOwner of the repository this skill is read from
  • Source folderWILLOSCAR/research-units-pipeline-skills/.codex/skills/dedupe-rankThe exact folder we audited
  • LicenceNot declaredAs the repository states it
  • Commit pinned for this verdict81994516a430A new audit runs when the source changes
  • Repository statusNot archivedLast push 14 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Use when a broad paper candidate pool needs deterministic deduplication and a stable core set.

---
name: dedupe-rank
description: "Use when a broad paper candidate pool needs deterministic deduplication and a stable core set."
---

# Dedupe + Rank

## Triggers & routing

- **Trigger**: dedupe, rank, core set, 去重, 排序, 精选论文, 核心集合.
- **Use when**: 检索后需要把广覆盖集合收敛成可管理的 core set(用于 taxonomy/outline/mapping)。
- **Skip if**: 已经有人手工整理了稳定的 `papers/core_set.csv`(无需再次 churn)。
- **Network**: none.
- **Guardrail**: 偏 deterministic;输出应可重复(稳定 paper_id、字段规范)。


Turns a raw candidate pool into a deduped pool and a stable core set.

## Input

- `papers/papers_raw.jsonl`

## Outputs

- `papers/papers_dedup.jsonl`
- `papers/core_set.csv`

## Script boundary

`scripts/run.py` should own only:
- title/year deduplication
- deterministic ranking
- stable `paper_id` generation

Use shared domain packs or pipeline contract metadata for topic-specific or product-specific behavior.

## Contract-driven behavior

The script should prefer pipeline contract metadata over profile-name branching.

Current important field:
- `quality_contract.candidate_pool_policy.keep_full_deduped_pool`
- `quality_contract.candidate_pool_policy.include_domain_pins`
- `quality_contract.candidate_pool_policy.minimum_domain_surveys`
- `quality_contract.candidate_pool_policy.survey_title_bonus`

If true, the script keeps the full deduped pool in `papers/core_set.csv` unless the user explicitly overrides core size.
Focused briefing Workflows can disable unconditional domain pins, reserve a
smaller survey floor, and remove the generic survey-title bonus without
changing broad Survey defaults.

## Acceptance

- deduped JSONL exists
- core-set CSV exists
- reruns are stable for the same inputs

## Non-goals

- retrieval
- screening
- manual topic authoring inside the script

Excerpt, first 1,750 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 8199451

Download folder ↗
git clone https://github.com/WILLOSCAR/research-units-pipeline-skills
git -C research-units-pipeline-skills checkout 81994516a430

The author documents no install command, so this uses the repository directly. Our verdict covers commit 81994516a430 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 81994516a430

Questions about Dedupe Rank

What does the Dedupe Rank skill do?
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.
Is Dedupe Rank safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Dedupe Rank access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (81994516a430), read on 2026-10-19. The repository is watched, and a new audit runs when it changes — this is the first audit.

Sources

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