Agent skill

Weakness Detection

by MaxKmet in MaxKmet/idea-validation-agents

Analyzes idea-scoring output to identify the weakest dimensions, root causes of low scores, and probable failure modes if the idea were pursued as-is.

MITAuto-check passedDevelopment

Install Weakness Detection

skills CLI
$ npx skills add MaxKmet/idea-validation-agents --skill weakness-detection -a claude-code

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

GitHub CLI
$ gh skill install MaxKmet/idea-validation-agents weakness-detection --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/MaxKmet/idea-validation-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/weakness-detection .claude/skills/weakness-detection && 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
weakness-detection
GitHub stars
474
Token cost
~508 tokens
SKILL.md length
150 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Analyzes idea-scoring output to identify the weakest dimensions, root causes of low scores, and probable failure modes if the idea were pursued as-is.

  • Works in 4 steps: Load scores.json, identify dimensions… → For each weak dimension, read the source… → Classify the root cause (structural /… → …
  • Tasks that involve Root cause analysis
  • SKILL.md covers Purpose, Input, Weakness Classification and Process, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Weakness Detection is an agent skill from MaxKmet/idea-validation-agents. Analyzes idea-scoring output to identify the weakest dimensions, root causes of low scores, and probable failure modes if the idea were pursued as-is.

Its SKILL.md is about 510 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Root cause analysis. The repository describes itself as: AI agents that act as your personal venture analyst - from startup idea brainstorming to full validation and go-to-market strategy. Built for developers who'd rather validate in… The licence is MIT.

When your agent uses it

  • Tasks that involve Root cause analysis

Example prompts

  • “Use the weakness-detection skill to analyz idea-scoring output to identify the weakest dimensions, root causes of low scores, and probable failure…”
  • “/weakness-detection”

Workflow steps

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

  1. Load scores.json, identify dimensions scoring below threshold.
  2. For each weak dimension, read the source file to understand why.
  3. Classify the root cause (structural / situational / knowledge gap / addressable).
  4. Describe the failure mode if the idea proceeded without fixing this weakness.

What it can do on your machine

Read from SKILL.md and the folder at commit 3a4c800. 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 (its code samples are json).

    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

Weakness Detection loads about 508 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 150 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~508

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 MaxKmet/idea-validation-agents at commit 3a4c800, republished under its MIT licence (© MaxKmet). 150 words, ~508 tokens.

Download SKILL.mdSave it as .claude/skills/weakness-detection/SKILL.md (or your agent's skills folder).
name
weakness-detection
description
Analyzes idea-scoring output to identify the weakest dimensions, root causes of low scores, and probable failure modes if the idea were pursued as-is.
<!-- version: 0.1.0 | outputs: memory/ideas/<slug>/weaknesses.json -->

Skill: weakness-detection

Purpose

Before triggering the pivot engine, understand WHY dimensions are weak. A low distribution score might mean "no viral loop" (fixable) or "fundamentally wrong category for organic growth" (structural). Surface the root cause, not just the symptom.

Input

  • Idea slug
  • memory/ideas/<slug>/scores.json (required)
  • All available dimension files in memory/ideas/<slug>/

Weakness Classification

Root Cause TypeDescriptionFix Type
StructuralInherent to the idea, can't be pivoted awayDrop or major pivot
SituationalWeak due to user's current constraintsFixable (more time, budget)
Knowledge gapWeak because data is missingRun more research
AddressableWeak but has a clear fixTargeted pivot

Process

<!-- TODO: Add failure mode library by app category -->
<!-- TODO: Define threshold for "weak" (e.g., dimension score < 40) -->
  1. Load scores.json, identify dimensions scoring below threshold.
  2. For each weak dimension, read the source file to understand why.
  3. Classify the root cause (structural / situational / knowledge gap / addressable).
  4. Describe the failure mode if the idea proceeded without fixing this weakness.

Output

Write to memory/ideas/<slug>/weaknesses.json:

json
{
  "weak_dimensions": [
    {
      "dimension": "",
      "score": 0,
      "root_cause_type": "structural | situational | knowledge-gap | addressable",
      "root_cause_description": "",
      "failure_mode": ""
    }
  ],
  "critical_weaknesses": [],
  "addressable_weaknesses": [],
  "overall_weakness_severity": "fatal | major | minor"
}

Notes

<!-- TODO: Define "fatal" vs "major" vs "minor" by combination of weak dimensions -->

© MaxKmet, MIT. 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/weakness-detection of MaxKmet/idea-validation-agents.

Open the folder on GitHubat commit 3a4c800

Compare with similar skills

Weakness Detection 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.

Weakness Detection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Weakness Detection this skillMaxKmet/idea-validation-agents474—~508Automated safety check: PassMIT
Code Design Rationale Investigatorcursor/plugins10k9 repos~2.6kAutomated safety check: PassNone
OpenLogi macOS Permissions TriageAprilNEA/OpenLogi23k—~2.5kAutomated safety check: NotesApache-2.0
Bug Finder for daisyUIsaadeghi/daisyui43k—~2.3kAutomated safety check: PassMIT
Root Cause Debugginggarrytan/gstack136k—~1.4kAutomated safety check: PassMIT
Review PRapache/shardingsphere21k—~6.4kAutomated safety check: PassApache-2.0

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Categories

Questions about Weakness Detection

What does Weakness Detection do?

Analyzes idea-scoring output to identify the weakest dimensions, root causes of low scores, and probable failure modes if the idea were pursued as-is. Weakness Detection is an agent skill from MaxKmet/idea-validation-agents. Analyzes idea-scoring output to identify the weakest dimensions, root causes of low scores, and probable failure modes if the idea were pursued as-is.

When should I use Weakness Detection?

Weakness Detection fits situations like: tasks that involve Root cause analysis.

How do I install Weakness Detection in Claude Code?

Run `npx skills add MaxKmet/idea-validation-agents --skill weakness-detection -a claude-code`. Or copy the skill folder (skills/weakness-detection in MaxKmet/idea-validation-agents) into .claude/skills/weakness-detection in your project. Claude Code loads it when a task matches its description.

How do I install Weakness Detection in Codex?

Run `npx skills add MaxKmet/idea-validation-agents --skill weakness-detection -a codex`. Or copy the skill folder (skills/weakness-detection in MaxKmet/idea-validation-agents) into .agents/skills/weakness-detection in your project. Codex loads it when a task matches its description.

Can I use Weakness Detection 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 MaxKmet/idea-validation-agents --skill weakness-detection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weakness-detection, .gemini/skills/weakness-detection, .github/skills/weakness-detection and .opencode/skills/weakness-detection in your project.

What does Weakness Detection need to run?

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

Does Weakness Detection 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 Weakness Detection 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 Weakness Detection use?

Weakness Detection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Weakness Detection use?

About 508 tokens (SKILL.md is roughly 2k 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 Weakness Detection?

Skills that share tags, products or a category with Weakness Detection: Code Design Rationale Investigator (cursor/plugins, 10k stars), OpenLogi macOS Permissions Triage (AprilNEA/OpenLogi, 23k stars), Bug Finder for daisyUI (saadeghi/daisyui, 43k stars) and Root Cause Debugging (garrytan/gstack, 136k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Weakness Detection?

MaxKmet (a GitHub user) maintains it in MaxKmet/idea-validation-agents, which has 474 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on June 16, 2026.

Source: MaxKmet/idea-validation-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.