systematic-probing

systematic-probing is a skill for Claude Code, Codex from yogsoth-ai/stress-test. It costs 36 tokens per session (713 once invoked), scanned A, original, Apache-2.0.

A security-testing strategy that lists every exposed part of a system, creates attacks for each one, and checks which attacks work.

In plain words
What is it for?
Use it to probe an application, design attack cases, investigate partial successes, and measure resistance to attacks.
Why use it?
It reduces the risk of testing only the obvious weaknesses and missing problems elsewhere.

Skill for Claude CodeCodex

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

Good fit Use it to probe an application, design attack cases, investigate partial successes, and measure resistance to attacks.

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Install with agentmods
npx agentmods add skills/yogsoth-ai/stress-test/systematic-probing
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 systematic-probing
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 systematic-probing

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/systematic-probing"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/systematic-probing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 713 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 $0.00036 $0.00713
Opus 5 $0.00018 $0.00357
Sonnet 5 $0.00007 $0.00143
Haiku 4.5 $0.00004 $0.00071

Measured 7d ago against content hash 0f5dfa0bf6db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

systematic-probing 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/systematic-probing/SKILL.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Systematic Probing Strategy

Anthropic-style systematic probing: exhaustive coverage of all threat surfaces with structured attack generation and execution.

Method

  1. threat-surface-mapping enumerates all attackable surfaces of the artifact
  2. attack-vector-generation produces specific attacks per surface
  3. Vectors prioritized by expected severity and likelihood
  4. probe-execution executes each attack, records success/failure/partial
  5. Failed probes trigger deeper investigation via follow-up vectors
  6. attack-resilience-scoring computes coverage and resilience metrics

Budget Table

Parameter S M L
Attack vectors 5 12 20
Probing rounds 3 6 10
Personas 2 4 6
Assumption checks 5 10 20

Orchestration

threat-surface-mapping → [enumerate surfaces]
→ [for each surface]:
    attack-vector-generation (generate vectors)
    → [for each vector]:
        probe-execution (execute attack)
        → (if partial success: generate follow-up vectors)
→ finding-aggregation → attack-resilience-scoring

Subagents

  • threat-surface-mapping (surface enumeration)
  • attack-vector-generation (vector design)
  • probe-execution (attack execution)
  • finding-aggregation (result synthesis)
  • attack-resilience-scoring (metric computation)

Available Tactics

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

Tactic When to use
assumption-cascade Tactic: Surface assumptions, sort by dependency, attack root assumptions first, then trace cascade failures through the dependency graph.
structured-attack-campaign Tactic: Full attack lifecycle — threat surface enumeration, attack vector generation, systematic probing, and finding aggregation across all surfaces.

Available SOPs

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

SOP When to use
attack-resilience-scoring Compute overall resilience score (0.0-1.0) based on attack results, coverage, and vulnerability severity distribution.
attack-vector-generation Generate specific attack strategies for a given threat surface, producing concrete probes that can be executed.
finding-aggregation Aggregate, deduplicate, and classify findings from multiple probes into a coherent vulnerability report.
probe-execution Execute a single attack probe against an artifact, record the result with evidence and severity classification.
threat-surface-mapping Enumerate all attackable surfaces of an artifact — logical, empirical, methodological, social, and practical dimensions.

Read the full file on GitHub · 88 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. 7d ago First seen · 88 lines · 36 tokens per session scan A 0f5dfa0bf6db

Subscribe to this mod's changes

systematic-probing is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 713 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.

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