Agent skill

Computation Reviewer

by openJiuwen-ai in openJiuwen-ai/sciencediscovery

Check whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context.

Apache-2.0Auto-check passed

Install Computation Reviewer

skills CLI
$ npx skills add openJiuwen-ai/sciencediscovery --skill computation-reviewer -a claude-code

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

GitHub CLI
$ gh skill install openJiuwen-ai/sciencediscovery computation-reviewer --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/openJiuwen-ai/sciencediscovery.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/computation-reviewer .claude/skills/computation-reviewer && 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
computation-reviewer
GitHub stars
159
Token cost
~412 tokens
SKILL.md length
190 words
Files
1
Skills in repo
23
Repo updated
First seen
Licence
Apache-2.0

At a glance

Check whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context.

  • Works in 4 steps: Review exactly one supplied numeric… → Compare value, unit, range, sample size,… → Distinguish exact support, value or unit… → …
  • SKILL.md covers Required checks, Output and Boundaries
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Computation Reviewer is an agent skill from openJiuwen-ai/sciencediscovery. Check whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context.

Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: ScienceDiscovery is an all‑in‑one agentic workbench built specifically for scientific research. The licence is Apache-2.0.

Example prompts

  • “/computation-reviewer”

Workflow steps

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

  1. Review exactly one supplied numeric Claim and its matching Evidence Bundle entry per run. The
  2. Compare value, unit, range, sample size, population, subgroup, endpoint, and statistical
  3. Distinguish exact support, value or unit contradiction, scope mismatch, interpretation
  4. Return INCONCLUSIVE when the Evidence excerpt does not contain enough context; do not report

What it can do on your machine

Read from SKILL.md and the folder at commit ab1403f. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Computation Reviewer loads about 412 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 190 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
~412

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from openJiuwen-ai/sciencediscovery at commit ab1403f, republished under its Apache-2.0 licence (© openJiuwen-ai). 190 words, ~412 tokens.

Download SKILL.mdSave it as .claude/skills/computation-reviewer/SKILL.md (or your agent's skills folder).
name
computation-reviewer
description
Check whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context.

Computation Reviewer

Run on the same locked Artifact with its supplied Evidence Bundle. In the bounded Deep pipeline, this local Evidence comparison runs before Citation source verification.

Required checks

  1. Review exactly one supplied numeric Claim and its matching Evidence Bundle entry per run. The Claim must contain a number and an [evN] alias in the same sentence or Markdown table cell.
  2. Compare value, unit, range, sample size, population, subgroup, endpoint, and statistical context with the linked Evidence.
  3. Distinguish exact support, value or unit contradiction, scope mismatch, interpretation overreach, and insufficient evidence.
  4. Return INCONCLUSIVE when the Evidence excerpt does not contain enough context; do not report insufficient content as a value mismatch.

Output

Return only the required structured result. Use a concrete COMPUTATION_* finding code such as COMPUTATION_EVIDENCE_VALUE_MISMATCH, COMPUTATION_EVIDENCE_SCOPE_MISMATCH, COMPUTATION_EVIDENCE_INTERPRETATION_OVERREACH, or COMPUTATION_EVIDENCE_INSUFFICIENT. Preserve the supplied Evidence alias and provide one concise reason; do not invent a separate correction field that the review protocol cannot persist.

Boundaries

  • Do not recompute results, execute code, modify Artifacts, or create another agent.
  • Do not treat topical similarity as numeric support.
  • Preserve Evidence aliases and provide a concise reason for every mismatch.

© openJiuwen-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/computation-reviewer of openJiuwen-ai/sciencediscovery.

Open the folder on GitHubat commit ab1403f

Compare with similar skills

Computation Reviewer 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.

Computation Reviewer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Computation Reviewer this skillopenJiuwen-ai/sciencediscovery159—~412Automated safety check: PassApache-2.0
Marketing Claims Reviewanthropics/claude-for-legal9.6k2 repos~3.6kAutomated safety check: PassApache-2.0
Review Pending PR Reviewsnrwl/nx29k—~3.9kAutomated safety check: PassMIT
Reviewthedaviddias/Front-End-Checklist74k—~556Automated safety check: PassMIT
ReviewClickHouse/ClickHouse50k—~8kAutomated safety check: NotesApache-2.0
Docling Pull Request Reviewdocling-project/docling69k—~1kAutomated safety check: PassMIT

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Questions about Computation Reviewer

What does Computation Reviewer do?

Check whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context. Computation Reviewer is an agent skill from openJiuwen-ai/sciencediscovery. Check whether numeric claims marked with Evidence aliases in an Artifact agree with the linked Evidence content and context.

How do I install Computation Reviewer in Claude Code?

Run `npx skills add openJiuwen-ai/sciencediscovery --skill computation-reviewer -a claude-code`. Or copy the skill folder (skills/computation-reviewer in openJiuwen-ai/sciencediscovery) into .claude/skills/computation-reviewer in your project. Claude Code loads it when a task matches its description.

How do I install Computation Reviewer in Codex?

Run `npx skills add openJiuwen-ai/sciencediscovery --skill computation-reviewer -a codex`. Or copy the skill folder (skills/computation-reviewer in openJiuwen-ai/sciencediscovery) into .agents/skills/computation-reviewer in your project. Codex loads it when a task matches its description.

Can I use Computation Reviewer 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 openJiuwen-ai/sciencediscovery --skill computation-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/computation-reviewer, .gemini/skills/computation-reviewer, .github/skills/computation-reviewer and .opencode/skills/computation-reviewer in your project.

What does Computation Reviewer need to run?

SKILL.md names no scripts, command-line tools or credentials: Computation Reviewer is instructions for the agent only.

Does Computation Reviewer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Computation Reviewer 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. Review the folder before installing.

What licence does Computation Reviewer use?

Computation Reviewer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Computation Reviewer use?

About 412 tokens (SKILL.md is roughly 1.6k 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 Computation Reviewer?

Skills that share tags, products or a category with Computation Reviewer: Marketing Claims Review (anthropics/claude-for-legal, 9.6k stars), Review Pending PR Reviews (nrwl/nx, 29k stars), Review (thedaviddias/Front-End-Checklist, 74k stars) and Review (ClickHouse/ClickHouse, 50k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Computation Reviewer?

openJiuwen-ai (a GitHub organization) maintains it in openJiuwen-ai/sciencediscovery, which has 159 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on October 10, 2026.

Source: openJiuwen-ai/sciencediscovery on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.