finding-aggregation

A process for combining results from multiple security or validation checks into one clear report, while removing duplicates and grouping related issues.

In plain words
What is it for?
Use it to classify vulnerabilities, identify patterns and coverage gaps, and produce prioritized recommendations from several probes.
Why use it?
It prevents repeated findings from obscuring the main problems and shows which areas were not tested enough.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/yogsoth-ai/stress-test/finding-aggregation
Any agent
npx skills add yogsoth-ai/stress-test --skill finding-aggregation
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/stress-test

Made for: Claude Code, Codex.

Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 303 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00021 $0.00303
Opus 5 $0.00010 $0.00151
Sonnet 5 $0.00004 $0.00061
Haiku 4.5 $0.00002 $0.00030

Measured 2d ago against content hash 1cef856a4cd4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

finding-aggregation 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 2d 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/finding-aggregation/SKILL.md · 48 lines

What it actually says

Finding Aggregation

Synthesizes findings from multiple attack probes into a coherent, deduplicated report.

Execution

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

Why Subagent

Aggregation requires neutral analytical stance — neither inflating nor minimizing findings. The aggregator must see patterns across individual probe results.

Input

  • findings: All probe results from the campaign
  • attack_metadata: Metadata about attack coverage (surfaces hit, vectors used, personas deployed)

Output

  • vulnerabilities: Deduplicated list classified by severity and type
  • patterns: Cross-cutting patterns observed across multiple probes
  • coverage_gaps: Surfaces or dimensions not adequately tested
  • recommendations: Prioritized hardening actions

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. 2d ago First seen · 48 lines · 21 tokens per session scan A 1cef856a4cd4

Subscribe to this mod's changes

finding-aggregation is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 303 once invoked, about $0.0001 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 2026-08-31.

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