boundary-enumeration

boundary-enumeration is a skill for Claude Code, Codex from yogsoth-ai/stress-test. It costs 25 tokens per session (510 once invoked), scanned A, a copy of boundary-enumeration, Apache-2.0.

A method for finding where software behavior changes by testing values at, just below, and just above each input limit.

In plain words
What is it for?
Use it to map input ranges, generate edge-case values, find breakpoints, and describe the range in which a claim remains valid.
Why use it?
It exposes failures at minimums, maximums, and other limits that ordinary middle-of-range tests can miss.

Skill for Claude CodeCodex

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

Good fit Use it to map input ranges, generate edge-case values, find breakpoints, and describe the range in which a claim remains valid.

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Install with agentmods
npx agentmods add skills/yogsoth-ai/stress-test/boundary-enumeration
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 boundary-enumeration
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 boundary-enumeration

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/boundary-enumeration.svg)](https://agentmods.dev/skills/yogsoth-ai/stress-test/boundary-enumeration)
Your own site
<a href="https://agentmods.dev/skills/yogsoth-ai/stress-test/boundary-enumeration"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/stress-test/boundary-enumeration.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 510 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 $0.00025 $0.00510
Opus 5 $0.00013 $0.00255
Sonnet 5 $0.00005 $0.00102
Haiku 4.5 $0.00003 $0.00051

Measured 8d ago against content hash 4712047e5f6a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

boundary-enumeration 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 boundary-enumeration — 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/boundary-enumeration/SKILL.md · 75 lines

What it actually says

Boundary Enumeration

Tactics

  • boundary-probing

Method

  1. Identify all parameter dimensions of the artifact
  2. For each dimension, determine nominal range and boundaries
  3. Generate test values at boundaries (min, max, min-1, max+1)
  4. Test claim validity at each boundary value
  5. Record breakpoints where claim fails
  6. Synthesize into validity envelope

Budget

Size Parameter dimensions Values per dimension Total probes
S 3 4 12
M 6 6 36
L 10 8 80

Orchestration

  1. Dispatch parameter-space-mapping to identify dimensions
  2. Dispatch extreme-value-generation for each dimension
  3. Dispatch breakpoint-detection at each extreme
  4. Dispatch validity-envelope-construction to synthesize

Subagents

  • parameter-space-mapping
  • extreme-value-generation
  • breakpoint-detection
  • validity-envelope-construction

Available Tactics

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

Tactic When to use
boundary-probing Map parameter space, generate extreme values, test at boundaries, detect breakpoints, synthesize validity envelope.

Available SOPs

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

SOP When to use
breakpoint-detection Test a claim at extreme parameter values and detect the precise point where it breaks down.
extreme-value-generation Generate boundary and extreme test values for a given parameter dimension to stress-test claims.
parameter-space-mapping Identify all parameter dimensions along which a claim's validity might vary.
stress-test-validity-envelope-construction Synthesize breakpoints across dimensions into a coherent validity envelope for a claim.
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 · 75 lines · 25 tokens per session scan A 4712047e5f6a

Subscribe to this mod's changes

boundary-enumeration is a skill published in the GitHub repository yogsoth-ai/stress-test (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 25 tokens to every session and 510 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to boundary-enumeration, differing in 0 lines, and is treated as a copy.

Related

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