attack-resilience-scoring

attack-resilience-scoring is a skill for Claude Code, Codex from yogsoth-ai/stress-test. It costs 31 tokens per session (325 once invoked), scanned A, a copy of attack-resilience-scoring, Apache-2.0.

A method for rating how well an artifact withstands attacks on a scale from 0 to 1. It also shows separate scores, confidence, and a pass or fail judgment.

In plain words
What is it for?
Use it to assess the resilience of a system, design, or other artifact after red-team testing. It compares vulnerabilities by severity and accounts for which threat areas were tested.
Why use it?
It turns scattered attack findings and incomplete test coverage into one explained assessment. This helps show when a score may be unreliable because important areas were not tested.

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 resilience of a system, design, or other artifact after red-team testing. It compares vulnerabilities by severity and accounts for which threat areas were tested.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yogsoth-ai/stress-test/attack-resilience-scoring
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 attack-resilience-scoring
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 attack-resilience-scoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/attack-resilience-scoring.svg)](https://agentmods.dev/skills/yogsoth-ai/stress-test/attack-resilience-scoring)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/attack-resilience-scoring"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/attack-resilience-scoring.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 325 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 100% copy Near-identical to another mod 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 $0.00031 $0.00325
Opus 5 $0.00015 $0.00162
Sonnet 5 $0.00006 $0.00065
Haiku 4.5 $0.00003 $0.00032

Measured 8d ago against content hash 6c2fee5bb5a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

attack-resilience-scoring 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 8d 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

This is a copy

100% identical to attack-resilience-scoring — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/attack-resilience-scoring/SKILL.md · 48 lines

What it actually says

Attack Resilience Scoring

Computes a quantitative resilience score for the artifact based on red team results.

Execution

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

Why Subagent

Scoring requires calibrated judgment independent of attack or defense bias. The scorer must weigh findings objectively against coverage.

Input

  • aggregated_findings: Deduplicated vulnerability report from finding-aggregation
  • coverage_data: What percentage of threat surfaces were tested, at what depth

Output

  • resilience_score: 0.0-1.0 overall score
  • dimension_scores: Per-dimension breakdown (logical, empirical, methodological, practical)
  • confidence_in_score: How much to trust the score given coverage gaps
  • verdict: Pass/conditional-pass/fail with justification

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. 8d ago First seen · 48 lines · 31 tokens per session scan A 6c2fee5bb5a4

Subscribe to this mod's changes

attack-resilience-scoring is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 325 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to attack-resilience-scoring, differing in 0 lines, and is treated as a copy.

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