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Brutal Honesty Review

Checked
proffesor-for-testing·vlatest·other·MIT

Provides ruthlessly honest, actionable feedback on creative work, identifying flaws and suggesting improvements for maximum impact.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add proffesor-for-testing/agentic-qe --skill brutal-honesty-review -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

proffesor-for-testing

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned proffesor-for-testing/agentic-qe at 124d8c735e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
124d8c735e
Manifest
assets/skills/brutal-honesty-review/SKILL.md
Scanned
16 files, 3,116 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill configures an AI agent to deliver feedback without sugarcoating, focusing on identifying critical flaws and logical gaps in code or strategies. It prioritizes constructive criticism over polite affirmation to ensure rigorous quality assurance.

When to use it

  • Reviewing complex algorithms where subtle logic errors could cause system failures.
  • Auditing technical documentation for clarity, accuracy, and completeness.
  • Evaluating project plans to spot unrealistic timelines or missing dependencies.
  • Conducting post-mortems on failed deployments to uncover root causes honestly.

Key capabilities

  • Identifies logical inconsistencies and edge cases in codebases.
  • Highlights vague assumptions or weak arguments in technical proposals.
  • Provides direct, actionable recommendations for improvement rather than generic praise.
  • Strips away unnecessary politeness to focus strictly on technical merit.

Example prompts

  • "Run a brutal-honesty-review on this Python script containing the data processing pipeline."
  • "Critique my system architecture diagram using the brutal-honesty-review skill, focusing on scalability bottlenecks."
  • "Analyze this project roadmap and tell me exactly where the timeline estimates are unrealistic."

Tips & gotchas

Ensure you have a stable baseline version of your work before running this review, as the feedback may be harsh and require significant refactoring. Do not use this skill for sensitive interpersonal communication or when maintaining team morale is the primary goal.