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Candid Review

Checked
ron-myers·vlatest·writing·MIT

Ron-Myers' candid-review delivers honest, constructive feedback on creative work, identifying strengths and areas for improvement.

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 ron-myers/candid --skill candid-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

ron-myers

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 ron-myers/candid at 648fc0eed6.

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

Commit
648fc0eed6
Manifest
skills/candid-review/SKILL.md
Scanned
3 files, 1,179 lines
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

The candid-review skill enables AI agents to perform detailed, critical assessments of specific topics, projects, or creative works. It provides structured feedback by analyzing inputs against defined criteria to identify strengths and areas for improvement.

When to use it

  • Evaluating a draft article or blog post for clarity, tone, and factual accuracy before publication.
  • Reviewing a code snippet or technical design document to spot logical errors or architectural weaknesses.
  • Analyzing a business strategy proposal to assess feasibility and potential risks.
  • Critiquing a creative piece, such as a story outline or marketing copy, for engagement and alignment with goals.

Key capabilities

  • Delivers structured, critical analysis rather than generic summaries.
  • Identifies specific strengths and weaknesses within the provided input.
  • Offers actionable recommendations for refinement and improvement.

Example prompts

  • "Conduct a candid review of this project proposal, focusing on feasibility and market fit."
  • "Critique my draft email to the client regarding the delay in delivery."
  • "Analyze this Python function for efficiency bugs and suggest optimizations."

Tips & gotchas

Ensure you provide sufficient context or the full text of the item being reviewed, as the skill relies on detailed input to generate meaningful critiques. For best results, specify the particular criteria or standards you want the agent to prioritize in its assessment.