Agent skill

Audit Adversarial Input

by ben-manes in ben-manes/caffeine

Analyze behavior under adversarial or extreme API inputs. An agent skill from ben-manes/caffeine.

Apache-2.0Auto-check passed

Install Audit Adversarial Input

skills CLI
$ npx skills add ben-manes/caffeine --skill audit-adversarial-input -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ben-manes/caffeine audit-adversarial-input --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ben-manes/caffeine.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/audit-adversarial-input .claude/skills/audit-adversarial-input && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
audit-adversarial-input
GitHub stars
18k
Token cost
~438 tokens
SKILL.md length
187 words
Files
1
Skills in repo
33
Repo updated
First seen
Licence
Apache-2.0

At a glance

Analyze behavior under adversarial or extreme API inputs. An agent skill from ben-manes/caffeine.

  • Works in 7 steps: Weight extremes: Integer.MAX_VALUE for… → Expiry extremes: Long.MAX_VALUE nanos… → Maximum size extremes: Long.MAX_VALUE… → …
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Audit Adversarial Input is an agent skill from ben-manes/caffeine. Analyze behavior under adversarial or extreme API inputs

Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: A high performance caching library for Java. The licence is Apache-2.0.

Example prompts

  • “/audit-adversarial-input”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Weight extremes: Integer.MAX_VALUE for every entry (overflow?),
  2. Expiry extremes: Long.MAX_VALUE nanos (timer wheel overflow?),
  3. Maximum size extremes: Long.MAX_VALUE (arithmetic overflow?),
  4. Key/value adversarial behavior: constant hashCode(0) (sketch degeneration?),
  5. Concurrency extremes: 10K threads on same computeIfAbsent, puts exceeding
  6. Frequency sketch saturation: all accesses to same key, all unique keys
  7. Time extremes: nanoTime near Long.MAX_VALUE (wrap-around?), non-monotonic

What it can do on your machine

Read from SKILL.md and the folder at commit e972fb0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Audit Adversarial Input loads about 438 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 187 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~438

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ben-manes/caffeine at commit e972fb0, republished under its Apache-2.0 licence (© ben-manes). 187 words, ~438 tokens.

Download SKILL.mdSave it as .claude/skills/audit-adversarial-input/SKILL.md (or your agent's skills folder).
name
audit-adversarial-input
description
Analyze behavior under adversarial or extreme API inputs
context
fork
agent
auditor
disable-model-invocation
true

Analyze the cache for defects triggered by adversarial or extreme API inputs.

For each category, construct concrete inputs and trace the code path:

  1. Weight extremes: Integer.MAX_VALUE for every entry (overflow?), MAX_VALUE→1 delta (overflow?), 0 for all (unbounded growth?), inconsistent weigher (divergence?).

  2. Expiry extremes: Long.MAX_VALUE nanos (timer wheel overflow?), 0 or negative (infinite loops?), MAX→0 transitions, alternating durations.

  3. Maximum size extremes: Long.MAX_VALUE (arithmetic overflow?), maximumSize(0) (graceful degeneration?), maximumSize(1) (temporary oversize?).

  4. Key/value adversarial behavior: constant hashCode(0) (sketch degeneration?), slow equals() (lock hold explosion?), mutating hashCode (silent corruption?), huge values (allocation failure handling?).

  5. Concurrency extremes: 10K threads on same computeIfAbsent, puts exceeding maintenance throughput (backpressure?), refresh storms from short refreshAfterWrite.

  6. Frequency sketch saturation: all accesses to same key, all unique keys (reset cost?), counter overflow beyond 4-bit limit.

  7. Time extremes: nanoTime near Long.MAX_VALUE (wrap-around?), non-monotonic ticker, large time jumps (timer wheel handling?).

For each issue: state input values, trace computation, state whether it causes incorrect behavior / OOM / infinite loop / degraded performance / graceful handling.

Do not report issues requiring API contract violations (e.g., null keys) unless the violation is undetected and causes silent corruption.

© ben-manes, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/audit-adversarial-input of ben-manes/caffeine.

Open the folder on GitHubat commit e972fb0

Compare with similar skills

Audit Adversarial Input next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Audit Adversarial Input compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Audit Adversarial Input this skillben-manes/caffeine18k—~438Automated safety check: PassApache-2.0
Search Inputthedaviddias/Front-End-Checklist74k—~402Automated safety check: PassMIT
Input Typesthedaviddias/Front-End-Checklist74k—~487Automated safety check: PassMIT
Paste Inputsthedaviddias/Front-End-Checklist74k—~443Automated safety check: PassMIT
Od Next Media Inputsnexu-io/open-design100k—~1.1kAutomated safety check: PassApache-2.0
Aria Input Field Namethedaviddias/Front-End-Checklist74k—~853Automated safety check: PassMIT

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Questions about Audit Adversarial Input

What does Audit Adversarial Input do?

Analyze behavior under adversarial or extreme API inputs. An agent skill from ben-manes/caffeine. Audit Adversarial Input is an agent skill from ben-manes/caffeine.

How do I install Audit Adversarial Input in Claude Code?

Run `npx skills add ben-manes/caffeine --skill audit-adversarial-input -a claude-code`. Or copy the skill folder (.claude/skills/audit-adversarial-input in ben-manes/caffeine) into .claude/skills/audit-adversarial-input in your project. Claude Code loads it when a task matches its description.

How do I install Audit Adversarial Input in Codex?

Run `npx skills add ben-manes/caffeine --skill audit-adversarial-input -a codex`. Or copy the skill folder (.claude/skills/audit-adversarial-input in ben-manes/caffeine) into .agents/skills/audit-adversarial-input in your project. Codex loads it when a task matches its description.

Can I use Audit Adversarial Input in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ben-manes/caffeine --skill audit-adversarial-input -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audit-adversarial-input, .gemini/skills/audit-adversarial-input, .github/skills/audit-adversarial-input and .opencode/skills/audit-adversarial-input in your project.

What does Audit Adversarial Input need to run?

SKILL.md names no scripts, command-line tools or credentials: Audit Adversarial Input is instructions for the agent only.

Does Audit Adversarial Input access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Audit Adversarial Input safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Audit Adversarial Input use?

Audit Adversarial Input is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Audit Adversarial Input use?

About 438 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Audit Adversarial Input?

Skills that share tags, products or a category with Audit Adversarial Input: Search Input (thedaviddias/Front-End-Checklist, 74k stars), Input Types (thedaviddias/Front-End-Checklist, 74k stars), Paste Inputs (thedaviddias/Front-End-Checklist, 74k stars) and Od Next Media Inputs (nexu-io/open-design, 100k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Audit Adversarial Input?

ben-manes (a GitHub user) maintains it in ben-manes/caffeine, which has 17,881 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 9, 2026.

Source: ben-manes/caffeine on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.