weakness-classification

weakness-classification is a skill for Claude Code, Codex from yogsoth-ai/stress-test. It costs 30 tokens per session (397 once invoked), scanned A, original, Apache-2.0.

A method for sorting discovered weaknesses into levels from cosmetic issues to problems that invalidate the main claim.

In plain words
What is it for?
Use it to assess the impact, scope, and practical exploitability of findings from an investigation.
Why use it?
It helps distinguish urgent flaws from issues that only affect presentation or minor details.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to assess the impact, scope, and practical exploitability of findings from an investigation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yogsoth-ai/stress-test/weakness-classification
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 yogsoth-ai/stress-test --skill weakness-classification
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/stress-test

Made for: Claude Code, Codex.

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 weakness-classification

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/weakness-classification/github.svg)](https://agentmods.dev/skills/yogsoth-ai/stress-test/weakness-classification)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/weakness-classification"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/weakness-classification/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 weakness-classification

Your own site · 80×15
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/weakness-classification"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/weakness-classification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 397 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 $0.00030 $0.00397
Opus 5 $0.00015 $0.00198
Sonnet 5 $0.00006 $0.00079
Haiku 4.5 $0.00003 $0.00040

Measured 7d ago against content hash 46606b48be92, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

weakness-classification 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 7d 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.

skills/weakness-classification/SKILL.md · 59 lines

What it actually says

Weakness Classification

Classifies discovered weaknesses into severity tiers.

Execution

Subagent — spawned via subagent-spawning/spawn-agent.

Why Subagent

Classification requires careful reasoning about impact scope and exploitability — dedicated context prevents bias from the discovery process.

Input

  • raw_finding: The weakness finding with context from discovery
  • artifact_context: The original artifact being validated

Output

  • severity: fatal | major | minor | cosmetic
  • category: type of weakness (logical, evidential, methodological, scope, assumption, implementation)
  • justification: why this severity level
  • exploitability: how easily this weakness could be exploited/triggered in practice

Classification Scheme

  • fatal: Invalidates the core claim — artifact cannot be used as-is
  • major: Significantly undermines validity but not fatal — requires substantial revision
  • minor: Weakens periphery — addressable without fundamental changes
  • cosmetic: Presentation/clarity issue only — does not affect validity

Budget

One unit = one classification. Called per finding.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP When to use
spawn-agent Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent.
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago First seen · 59 lines · 30 tokens per session scan A 46606b48be92

Subscribe to this mod's changes

weakness-classification is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 397 once invoked, about $0.0002 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 2026-09-03.

Related

Other skills, from other repositories

python-code-quality

Code quality checks, linting, formatting, and type checking commands for the Agent Framework Python codebase. Use this when running checks, fixing lint errors, or troubleshooting CI failures.

microsoft/agent-framework · 40 tokens

backtest-diagnose

Diagnose failed or underperforming backtests, locate the root cause, and fix the issue.

HKUDS/Vibe-Trading · 25 tokens

trace

Use when encountering bugs, test failures, runtime errors, broken builds, or "this doesn't work" reports. Systematic root-cause analysis before any patch — never blind-patches symptoms. Standalone, ends with a final-integration review of the fix. Trigger with /hyperflow:trace, "debug this", "find the root cause", "why…

jeremylongshore/tons-of-skills-marketplace · 84 tokens

oma-observability

Intent-based observability + traceability router across layers, boundaries, and signals. Routes to vendor-specific skills via category taxonomy; owns transport tuning, meta-observability, incident forensics. Use for observability, traceability, telemetry, APM, RUM, metrics, logs, traces, profiles, SLO, incident…

first-fluke/oh-my-agent · 78 tokens

oma-debug

Bug diagnosis and fixing specialist - analyzes errors, identifies root causes, provides fixes, and writes regression tests. Use for bug, debug, error, crash, traceback, exception, and regression work.

first-fluke/oh-my-agent · 42 tokens

node-inspect-debugger

Debug Node.js via --inspect + Chrome DevTools Protocol CLI.

mateaix/mateclaw · 19 tokens