Agent skill

Receiving Critical Review

by K-Dense-AI in K-Dense-AI/science-superpowers

A skill your agent uses when receiving critical feedback on an analysis or manuscript, before implementing suggestions, especially if feedback seems unclear or methodologically questionable -…

Custom licenceAuto-check passed

Install Receiving Critical Review

skills CLI
$ npx skills add K-Dense-AI/science-superpowers --skill receiving-critical-review -a claude-code

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

GitHub CLI
$ gh skill install K-Dense-AI/science-superpowers receiving-critical-review --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/K-Dense-AI/science-superpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/receiving-critical-review .claude/skills/receiving-critical-review && 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
receiving-critical-review
GitHub stars
350
Token cost
~1.3k tokens
SKILL.md length
387 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when receiving critical feedback on an analysis or manuscript, before implementing suggestions, especially if feedback seems unclear or methodologically questionable -…

  • Receiving critical feedback on an analysis
  • SKILL.md covers Overview, The Response Pattern, Forbidden Responses and Handling Unclear Feedback, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Before implementing suggestions

What it does

Receiving Critical Review is an agent skill from K-Dense-AI/science-superpowers. Use when receiving critical feedback on an analysis or manuscript, before implementing suggestions, especially if feedback seems unclear or methodologically questionable - requires verification, not performative agreement or blind changes

Its SKILL.md is about 1.3k 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: Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A science-domain reimplementation of Superpowers.

When your agent uses it

  • Receiving critical feedback on an analysis
  • Before implementing suggestions
  • Especially if feedback seems unclear
  • Methodologically questionable - requires verification

Example prompts

  • “/receiving-critical-review”

What it can do on your machine

Read from SKILL.md and the folder at commit 0374bdf. 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

Receiving Critical Review loads about 1.3k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 387 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 387 words (~1,271 tokens).

“Critique of an analysis requires technical evaluation, not emotional performance.”

— opening of SKILL.md by K-Dense-AI, Custom licence
name
receiving-critical-review

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/receiving-critical-review of K-Dense-AI/science-superpowers.

Open the folder on GitHubat commit 0374bdf

Compare with similar skills

Receiving Critical Review 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.

Receiving Critical Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Receiving Critical Review this skillK-Dense-AI/science-superpowers350—~1.3kAutomated safety check: PassCustom licence
Feedbackcodewhale-hq/Codewhale41k—~272Automated safety check: PassMIT
Criticism Self CriticismHughYau/qiushi-skill3.8k—~423Automated safety check: PassMIT
Crossframe Criticalsickn33/agentic-awesome-skills47k1 repos~1.3kAutomated safety check: PassMIT
Payments Receivedsickn33/agentic-awesome-skills47k1 repos~3.5kAutomated safety check: PassMIT
Receiving Code Review FeedbackjnMetaCode/superpowers-zh8.3k—~707Automated safety check: PassMIT

Similar skills

  • Feedback

    codewhale-hq/Codewhale

    Report a Codewhale bug or idea as a GitHub issue. An agent skill from codewhale-hq/Codewhale.

    41k GitHub stars~272 tokensUpdated today
    Auto-check passed
  • Criticism Self Criticism

    HughYau/qiushi-skill

    批评与自我批评:在工作完成、阶段验收、收到批评或同类错误反复出现时,对成果和过程做诚实、具体、基于事实的审视,输出可执行的改进项,并处理外来批评而不辩解。触发信号包括 review、复盘、审查、"帮我看看有没有问题"、"你确定吗";任务刚开始或只是单步查询时不触发。

    3.8k GitHub stars~423 tokensUpdated 10 days ago
    Product & Project ManagementAuto-check passed
  • Crossframe Critical

    sickn33/agentic-awesome-skills

    Use only when the user explicitly names crossframe-critical for a Chinese structural critique dossier, article plan, or long-form critical essay.

    47k GitHub starsUsed in 1 repo~1.3k tokens
    Auto-check passed
  • Payments Received

    sickn33/agentic-awesome-skills

    Payments received log: reference, client and invoice, amount and currency, payment date and method, withholding tax, bank account, received-by and receipt-sent status.

    47k GitHub starsUsed in 1 repo~3.5k tokens
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  • Receiving Code Review Feedback

    jnMetaCode/superpowers-zh

    Guides how an agent handles code review feedback: verify each suggestion against the codebase, ask about unclear items first, and push back with technical reasons when needed.

    8.3k GitHub stars~707 tokensUpdated 3 days ago
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  • Feedback

    nexu-io/nexu

    Send feedback to the Nexu team. An agent skill from nexu-io/nexu.

    3.3k GitHub stars~660 tokensUpdated 5 mo ago
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More from K-Dense-AI/science-superpowers

All 13 skills in this repo
  • Designing The Analysis

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    A skill your agent uses when you have an approved research question and need a concrete analysis plan, before touching outcome data or fitting any model

    350 GitHub stars~1.7k tokensUpdated 27 days ago
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  • Dispatching Parallel Investigations

    K-Dense-AI/science-superpowers

    A skill your agent uses when facing 2+ independent investigations that can proceed without shared state - parallel literature survey, multi-dataset replication, or pre-specified robustness checks

    350 GitHub stars~1.3k tokensUpdated 27 days ago
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  • Establishing Feasibility First

    K-Dense-AI/science-superpowers

    A skill your agent uses when your human partner has explicitly opted into exploratory or feasibility mode - a compute-heavy simulation, an unproven pipeline, an unbenchmarked solver, an untested…

    350 GitHub stars~4.2k tokensUpdated 27 days ago
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  • Framing Research Questions

    K-Dense-AI/science-superpowers

    You MUST use this before any data analysis or investigation - before exploring a dataset, loading or profiling data, running a model, computing a statistic, or testing an idea, and before any…

    350 GitHub stars~2.5k tokensUpdated 27 days ago
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  • Investigating Anomalous Results

    K-Dense-AI/science-superpowers

    A skill your agent uses when a result is surprising, impossible, contradicts a sanity check, a pipeline fails, a model won't converge, or a replication fails - before adjusting anything

    350 GitHub stars~1.9k tokensUpdated 27 days ago
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  • Reporting And Archiving Findings

    K-Dense-AI/science-superpowers

    A skill your agent uses when an analysis is complete and verified, and you need to decide how to report it and archive the work for reproducibility

    350 GitHub stars~1.7k tokensUpdated 27 days ago
    Auto-check passed

Questions about Receiving Critical Review

What does Receiving Critical Review do?

A skill your agent uses when receiving critical feedback on an analysis or manuscript, before implementing suggestions, especially if feedback seems unclear or methodologically questionable -…. Receiving Critical Review is an agent skill from K-Dense-AI/science-superpowers.

When should I use Receiving Critical Review?

Receiving Critical Review fits situations like: receiving critical feedback on an analysis; before implementing suggestions; especially if feedback seems unclear; methodologically questionable - requires verification.

How do I install Receiving Critical Review in Claude Code?

Run `npx skills add K-Dense-AI/science-superpowers --skill receiving-critical-review -a claude-code`. Or copy the skill folder (skills/receiving-critical-review in K-Dense-AI/science-superpowers) into .claude/skills/receiving-critical-review in your project. Claude Code loads it when a task matches its description.

How do I install Receiving Critical Review in Codex?

Run `npx skills add K-Dense-AI/science-superpowers --skill receiving-critical-review -a codex`. Or copy the skill folder (skills/receiving-critical-review in K-Dense-AI/science-superpowers) into .agents/skills/receiving-critical-review in your project. Codex loads it when a task matches its description.

Can I use Receiving Critical Review 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 K-Dense-AI/science-superpowers --skill receiving-critical-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/receiving-critical-review, .gemini/skills/receiving-critical-review, .github/skills/receiving-critical-review and .opencode/skills/receiving-critical-review in your project.

What does Receiving Critical Review need to run?

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

Does Receiving Critical Review 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 Receiving Critical Review 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 Receiving Critical Review use?

Receiving Critical Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Receiving Critical Review use?

About 1.3k tokens (SKILL.md is roughly 5.1k 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 Receiving Critical Review?

Skills that share tags, products or a category with Receiving Critical Review: Feedback (codewhale-hq/Codewhale, 41k stars), Criticism Self Criticism (HughYau/qiushi-skill, 3.8k stars), Crossframe Critical (sickn33/agentic-awesome-skills, 47k stars) and Payments Received (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Receiving Critical Review?

K-Dense-AI (a GitHub organization) maintains it in K-Dense-AI/science-superpowers, which has 350 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 13, 2026.

Source: K-Dense-AI/science-superpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.