radical-candor

radical-candor is a skill for Claude Code from pmprompt/claude-plugin-product-management. It costs 73 tokens per session (518 once invoked), scanned A, original, MIT.

A feedback framework that combines personal care with direct discussion of problems and expectations. It applies to both praise and criticism.

In plain words
What is it for?
Use it to prepare difficult conversations, give performance feedback, challenge decisions directly, and offer praise that is specific and useful.
Why use it?
It helps people avoid feedback that is either too vague to help or so harsh that it damages trust. The focus is on helping someone succeed while still saying what needs to be said.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pmprompt plugin — 28 skills, 9 commands shipped together

Good fit Use it to prepare difficult conversations, give performance feedback, challenge decisions directly, and offer praise that is specific and useful.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pmprompt/claude-plugin-product-management/radical-candor
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add pmprompt/claude-plugin-product-management --skill radical-candor
Clone the repo
git clone --depth 1 https://github.com/pmprompt/claude-plugin-product-management

Made for: Claude Code.

Or install pmprompt, the plugin that ships this one along with the rest of its 28 skills, 9 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for radical-candor

README.md
[![agentmods](https://agentmods.dev/badge/skills/pmprompt/claude-plugin-product-management/radical-candor/github.svg)](https://agentmods.dev/skills/pmprompt/claude-plugin-product-management/radical-candor)
Your own site
<a href="https://agentmods.dev/skills/pmprompt/claude-plugin-product-management/radical-candor"><img src="https://agentmods.dev/badge/skills/pmprompt/claude-plugin-product-management/radical-candor/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for radical-candor

Your own site · 80×15
<a href="https://agentmods.dev/skills/pmprompt/claude-plugin-product-management/radical-candor"><img src="https://agentmods.dev/badge/skills/pmprompt/claude-plugin-product-management/radical-candor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 518 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00073 $0.00518
Opus 5 $0.00036 $0.00259
Sonnet 5 $0.00015 $0.00104
Haiku 4.5 $0.00007 $0.00052

Measured 11d ago against content hash 2e17322d0a86, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

radical-candor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/radical-candor/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Domain Context

This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.

Input Requirements

  • Context about your product, feature, or problem
  • Relevant data, research, or constraints (recommended but optional)
  • Clear articulation of what you're trying to achieve

Radical Candor

What It Is

Radical Candor is a framework for giving feedback that builds trust and drives results. The core insight: great feedback happens when you Care Personally AND Challenge Directly at the same time.

Most people fail at feedback because they choose one or the other. They're either so focused on being nice that they don't say what needs to be said (ruinous empathy), or they're so focused on being direct that they forget to show they care (obnoxious aggression). Radical Candor isn't about finding a middle ground—it's about doing both fully.

The key shift: Move from "How do I deliver this feedback?" to "How do I help this person succeed?"

When to Use It

Use Radical Candor when you need to:

  • Give feedback (both praise and criticism) that actually lands
  • Have difficult performance conversations with direct reports
  • Build a culture of honest communication on your team
  • Solicit feedback from others about your own performance
  • Coach employees through growth and development
  • Address problems before they become crises
  • Build trust in professional relationships

When Not to Use It

  • When you don't actually care — if you just want to vent or hurt someone
  • When the feedback is about unchangeable personal traits — focus on behavior, not personality
  • When you haven't solicited feedback first — always start by asking for feedback
  • When you're saving it for a performance review — Radical Candor happens in the moment

Resources

Books:

  • Radical Candor by Kim Scott
  • Radical Respect by Kim Scott
  • When They Win, You Win by Russ Laraway

Read the full file on GitHub · 52 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 52 lines · 73 tokens per session scan A 2e17322d0a86

Subscribe to this mod's changes

radical-candor is a skill published in the GitHub repository pmprompt/claude-plugin-product-management (49 stars, last pushed 6mo ago), licensed MIT. It adds 73 tokens to every session and 518 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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