edge-case-hunter

edge-case-hunter is a skill for Claude Code, Codex from codebygarv/Ai-skills. It costs 39 tokens per session (544 once invoked), scanned A, original, MIT.

A testing guide that lists unusual inputs, boundary values, empty states, and unexpected user actions that normal testing may miss.

In plain words
What is it for?
Use it to review forms and features for cases such as missing data, limit values, repeated submissions, long text, or unusual characters.
Why use it?
It helps reveal how software behaves outside the usual successful path before those cases become bugs for users.

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/codebygarv/ai-skills/edge-case-hunter
Any agent
npx skills add codebygarv/Ai-skills --skill edge-case-hunter
Clone the repo
git clone --depth 1 https://github.com/codebygarv/Ai-skills

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 edge-case-hunter

README.md
[![agentmods](https://agentmods.dev/badge/skills/codebygarv/ai-skills/edge-case-hunter.svg)](https://agentmods.dev/skills/codebygarv/ai-skills/edge-case-hunter)
Your own site
<a href="https://agentmods.dev/skills/codebygarv/ai-skills/edge-case-hunter"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/edge-case-hunter.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 544 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 $0.00039 $0.00544
Opus 5 $0.00019 $0.00272
Sonnet 5 $0.00008 $0.00109
Haiku 4.5 $0.00004 $0.00054

Measured yesterday against content hash 1dd08a237dbc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

edge-case-hunter 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 yesterday.

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/testing/edge-case-hunter/SKILL.md · 36 lines

How it starts

The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Enumerate the edge cases a given piece of functionality is likely to mishandle — unusual input, boundary values, empty/missing states, and unexpected user behavior — the class of case that a "does it work for the normal case" pass typically skips.

When to Use

  • Before shipping something that handles user input or external data.
  • After writing normal-case tests, to find what's still missing.
  • Specifically want edge cases enumerated, separate from a general bug hunt (see Bug Hunter for defects in existing code; this skill is about enumerating cases to consider, whether or not code exists yet).

What to Analyze

  1. Boundary values — zero, negative, empty string/array/object, exactly at a limit (min/max), one below/above a limit.
  2. Empty & missing states — no data yet (first-time user), data deleted mid-session, a required relationship missing (e.g. a comment whose author was deleted).
  3. Unexpected user behavior — double-submitting a form, navigating away mid-action, using browser back/forward against app state, extremely fast repeated actions.
  4. Unusual but valid input — very long strings, unicode/emoji, whitespace-only input, numbers as strings, timezone edge cases (midnight, DST transitions, leap years/seconds).
  5. Concurrent/simultaneous actions — two actors acting on the same resource at once, the same actor acting on two devices/tabs at once.
  6. Degraded conditions — slow network, partial data load, a dependency being down or timing out.

Output Format

  • A checklist grouped by category (Boundary Values, Empty/Missing States, Unexpected Behavior, Unusual Input, Concurrency, Degraded Conditions).
  • Each item: the specific case, why it's plausible (not just theoretically possible), and what currently happens (if known/inferable) or what should happen.
  • Prioritize cases realistic for this specific feature over generic edge cases that don't actually apply to it.

Avoid

  • Generating a generic checklist that doesn't reflect what this specific feature actually does — every case should be plausible for the feature at hand.
  • Treating truly impossible cases (violating a hard invariant enforced elsewhere) as if they need handling here too.
  • Listing a case without saying why it matters or what should happen — a bare list of scenarios isn't actionable.

Read the full file on GitHub · 36 lines

Files

What ships with it

2 files 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. yesterday First seen · 36 lines · 39 tokens per session scan A 1dd08a237dbc

Subscribe to this mod's changes

edge-case-hunter is a skill published in the GitHub repository codebygarv/Ai-skills (24 stars, last pushed 15d ago), licensed MIT. It adds 39 tokens to every session and 544 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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