Agent skill

Claim Evidence Matrix

by WILLOSCAR in WILLOSCAR/research-units-pipeline-skills

Seed outline/claimevidencematrix.md from outline+notes; claim-matrix-rewriter rewrites it later from evidence packs.

No licenceAuto-check passed

Install Claim Evidence Matrix

skills CLI
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill claim-evidence-matrix -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install WILLOSCAR/research-units-pipeline-skills claim-evidence-matrix --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/claim-evidence-matrix .claude/skills/claim-evidence-matrix && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
claim-evidence-matrix
GitHub stars
513
Token cost
~727 tokens
SKILL.md length
315 words
Files
2 (incl. scripts)
Skills in repo
107
Repo updated
First seen
Licence
None found

At a glance

Seed outline/claimevidencematrix.md from outline+notes; claim-matrix-rewriter rewrites it later from evidence packs.

  • Works in 5 steps: For each subsection, write 1–3 claims… → For each claim, list ≥2 evidence sources → Keep it tight: claim → evidence →… → …
  • SKILL.md covers Triggers & routing, Inputs, Output and Workflow (heuristic), plus 3 more sections
  • Runs Python scripts from its folder; calls uv

What it does

Claim Evidence Matrix is an agent skill from WILLOSCAR/research-units-pipeline-skills. Seed outline/claimevidencematrix.md from outline+notes; claim-matrix-rewriter rewrites it later from evidence packs.

Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/run.py`).

The repository describes itself as: Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing…

Example prompts

  • “/claim-evidence-matrix”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. For each subsection, write 1–3 claims that are
  2. For each claim, list ≥2 evidence sources
  3. Keep it tight: claim → evidence → (optional) caveat/limitations.
  4. If evidence is weak or only abstract-level, say so explicitly (don’t overclaim).
  5. If bibkey exists in papers/paper_notes.jsonl, include [@BibKey] next to evidence items to make later prose/LaTeX conversion smoother.

What it can do on your machine

Read from SKILL.md and the folder at commit c92912a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Claim Evidence Matrix loads about 727 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 315 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~727

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 315 words (~727 tokens).

“Make the survey’s claims explicit and auditable before writing prose.”

— opening of SKILL.md by WILLOSCAR
name
claim-evidence-matrix
binding
library

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in .codex/skills/claim-evidence-matrix of WILLOSCAR/research-units-pipeline-skills.

  • SKILL.md
  • scripts/run.py

Open the folder on GitHubat commit c92912a

Compare with similar skills

Claim Evidence Matrix next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Claim Evidence Matrix compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Claim Evidence Matrix this skillWILLOSCAR/research-units-pipeline-skills513—~727Automated safety check: PassNone
Claimsruvnet/ruflo74k1 repos~1.1kAutomated safety check: PassMIT
SeedQ00/ouroboros6.2k—~8.1kAutomated safety check: PassMIT
Matrixbergside/awesome-design-skills3.1k1 repos~957Automated safety check: PassMIT
Agent Matrix Optimizerruvnet/ruflo74k2 repos~1.8kAutomated safety check: PassMIT
Tech Matrixsickn33/agentic-awesome-skills47k1 repos~3.1kAutomated safety check: PassMIT

Similar skills

  • Claims

    ruvnet/ruflo

    Claims-based authorization for agents and operations. An agent skill from ruvnet/ruflo.

    74k GitHub starsUsed in 1 repo~1.1k tokens
    Backend & APIsAuto-check passed
  • Seed

    Q00/ouroboros

    Generate validated Seed specifications from interview results

    6.2k GitHub stars~8.1k tokensUpdated 3 days ago
    Agent WorkflowsAuto-check passed
  • Matrix

    bergside/awesome-design-skills

    A cyber-slick, dark-only Matrix-inspired interface defined by minimalist fashion, high-tech digital elements

    3.1k GitHub starsUsed in 1 repo~957 tokens
    Frontend & DesignAuto-check passed
  • Agent skill for matrix-optimizer - invoke with $agent-matrix-optimizer

    74k GitHub starsUsed in 2 repos~1.8k tokens
    Auto-check passed
  • Tech Matrix

    sickn33/agentic-awesome-skills

    Reference document for monopoly tech-matrix. An agent skill from sickn33/agentic-awesome-skills.

    47k GitHub starsUsed in 1 repo~3.1k tokens
    Backend & APIsAuto-check passed
  • Competency Matrix

    sickn33/agentic-awesome-skills

    Competency matrix of expected proficiency by job title and grade, with assessment method and linked skill area.

    47k GitHub starsUsed in 1 repo~3.7k tokens
    Auto-check passed

More from WILLOSCAR/research-units-pipeline-skills

All 107 skills in this repo
  • Appendix Table Writer

    WILLOSCAR/research-units-pipeline-skills

    Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.

    513 GitHub stars~1.8k tokensUpdated 6 days ago
    Auto-check passed
  • Artifact Contract Auditor

    WILLOSCAR/research-units-pipeline-skills

    Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing output/CONTRACTREPORT.md; use for mid-Run coverage snapshots or final delivery completeness, not deep…

    513 GitHub stars~918 tokensUpdated 6 days ago
    Auto-check passed
  • Arxiv Search

    WILLOSCAR/research-units-pipeline-skills

    Retrieve arXiv paper metadata with keyword queries or import an offline arXiv export, and save results as JSONL (papers/papersraw.jsonl).

    513 GitHub stars~1.5k tokensUpdated 6 days ago
    Auto-check passed
  • Chapter Lead Writer

    WILLOSCAR/research-units-pipeline-skills

    Write H2 chapter lead blocks (sections/S<secidlead.md) that preview the chapter's comparison lens and connect its H3 subsections, without adding new facts.

    513 GitHub stars~1.5k tokensUpdated 6 days ago
    Auto-check passed
  • Chapter Skeleton

    WILLOSCAR/research-units-pipeline-skills

    Build a retrieval-informed chapter skeleton (outline/chapterskeleton.yml) from taxonomy/core scope before stable H3 decomposition.

    513 GitHub stars~475 tokensUpdated 6 days ago
    Auto-check passed
  • Dedupe Rank

    WILLOSCAR/research-units-pipeline-skills

    A skill your agent uses when a broad paper candidate pool needs deterministic deduplication and a stable core set.

    513 GitHub stars~438 tokensUpdated 6 days ago
    Auto-check passed

Questions about Claim Evidence Matrix

What does Claim Evidence Matrix do?

Seed outline/claimevidencematrix.md from outline+notes; claim-matrix-rewriter rewrites it later from evidence packs. Claim Evidence Matrix is an agent skill from WILLOSCAR/research-units-pipeline-skills.md from outline+notes; claim-matrix-rewriter rewrites it later from evidence packs.

How do I install Claim Evidence Matrix in Claude Code?

Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill claim-evidence-matrix -a claude-code`. Or copy the skill folder (.codex/skills/claim-evidence-matrix in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/claim-evidence-matrix in your project. Claude Code loads it when a task matches its description.

How do I install Claim Evidence Matrix in Codex?

Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill claim-evidence-matrix -a codex`. Or copy the skill folder (.codex/skills/claim-evidence-matrix in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/claim-evidence-matrix in your project. Codex loads it when a task matches its description.

Can I use Claim Evidence Matrix in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill claim-evidence-matrix -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/claim-evidence-matrix, .gemini/skills/claim-evidence-matrix, .github/skills/claim-evidence-matrix and .opencode/skills/claim-evidence-matrix in your project.

What does Claim Evidence Matrix need to run?

Going by SKILL.md and its folder, Claim Evidence Matrix needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Claim Evidence Matrix access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Claim Evidence Matrix safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Claim Evidence Matrix use?

No licence was found for Claim Evidence Matrix or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Claim Evidence Matrix use?

About 727 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Claim Evidence Matrix?

Skills that share tags, products or a category with Claim Evidence Matrix: Claims (ruvnet/ruflo, 74k stars), Seed (Q00/ouroboros, 6.2k stars), Matrix (bergside/awesome-design-skills, 3.1k stars) and Agent Matrix Optimizer (ruvnet/ruflo, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Claim Evidence Matrix?

WILLOSCAR (a GitHub user) maintains it in WILLOSCAR/research-units-pipeline-skills, which has 513 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on October 5, 2026.

Source: WILLOSCAR/research-units-pipeline-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.