cheese

cheese is a skill for Claude Code from paulnsorensen/easy-cheese. It costs 53 tokens per session (3,428 once invoked), scanned A, original, MIT.

A single entry point that routes an idea, specification, file, bug report, stack trace, pull request, issue, or research question to a suitable development workflow.

In plain words
What is it for?
Use it to get started on a feature, resume work, investigate a bug, plan changes from a file or specification, or route a GitHub pull request or issue.
Why use it?
It removes the need to know which workflow command to choose when you are starting with an unfamiliar or incomplete request.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_SKILL_DIR} variable.

Part of the easy-cheese plugin — 18 skills shipped together

not rated 18repo changed 4d ago A scan Socket: passSnyk: warnSkillSpector: warn 53 tokens original MIT

Good fit Use it to get started on a feature, resume work, investigate a bug, plan changes from a file or specification, or route a GitHub pull request or issue.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/paulnsorensen/easy-cheese/cheese
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 paulnsorensen/easy-cheese --skill cheese
Clone the repo
git clone --depth 1 https://github.com/paulnsorensen/easy-cheese

Made for: Claude Code.

Or install easy-cheese, the plugin that ships this one along with the rest of its 18 skills.

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 cheese

README.md
[![agentmods](https://agentmods.dev/badge/skills/paulnsorensen/easy-cheese/cheese/github.svg)](https://agentmods.dev/skills/paulnsorensen/easy-cheese/cheese)
Your own site
<a href="https://agentmods.dev/skills/paulnsorensen/easy-cheese/cheese"><img src="https://agentmods.dev/badge/skills/paulnsorensen/easy-cheese/cheese/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 cheese

Your own site · 80×15
<a href="https://agentmods.dev/skills/paulnsorensen/easy-cheese/cheese"><img src="https://agentmods.dev/badge/skills/paulnsorensen/easy-cheese/cheese.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,428 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. Third-party audits
  • Socket pass 12 Jun 2026
  • Snyk warn 12 Jun 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 47
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
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 $0.00053 $0.03428
Opus 5 $0.00026 $0.01714
Sonnet 5 $0.00011 $0.00686
Haiku 4.5 $0.00005 $0.00343

Measured 4d ago against content hash cea440bb7329, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

cheese 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 4d 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/cheese/SKILL.md · 250 lines

How it starts

The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/cheese

Inputs

Accept anything the user supplies as $ARGUMENTS:

  • A natural-language feature description, idea, or question.
  • A spec path (.cheese/specs/<slug>.md) or pasted spec content.
  • A bug report, stack trace, failing test output, or reproduction steps.
  • A file path, glob, or directory.
  • A PR or issue reference (PR#142, #87, GitHub URL).
  • A research question about an external library, API, or pattern.
  • An empty or near-empty prompt — treat as "what's next?" and clarify.

Optional flags:

  • --safe — gate dispatch behind a confirmation prompt.
  • --open-pr — propagate through the implementation chain to /cure. /cure consumes this flag and sends the publication intent to terminal /plate. /plate accepts no --open-pr flag of its own. A new PR follows /plate's explicit choice and review shape policy.
  • --continue <slug-or-note-path> — resume an in-flight pipeline from a handoff slug or note.
  • --hard — propagate to /plate, which runs the final artifact-writing gate before /hard-cheese and publication.
  • --reground — use with --continue only. Adversarially re-check the handoff claims before phase dispatch.

If $ARGUMENTS is missing, ask one clarifying question through the host routing guide. Use references/handoff-gate.md.

Flow

  1. Read the full user message, not just $ARGUMENTS. Treat all other user prose as a directive list. Follow live directives instead of conflicting defaults or the handoff protocol. The handoff file restores state. The user's live message overrides it. Exception: a live directive never waives a resume integrity gate. Ambiguity, unresolved lineage, an integrity finding, and status: gated: still stop dispatch. A live directive answers only the informed trust gate for a clean legacy result. references/continue-resume.md owns these gates.
  2. Think first (silent). Model the problem internally per skills/culture/SKILL.md — restate the ask, list candidate targets, name the deciding signal. Output is the classification that drives step 2.
  3. Classify — match $ARGUMENTS against the intent shapes in references/classification.md. Pick the highest-confidence shape; below the threshold, route to clarify (handled by the tier-3 escalation in step 4).
  4. Clarity check (cook intents only). Run Cook's fast-path check for a cook intent. Dispatch a mold intent to /mold's user mode instead. Direct plate intents bypass this check.
  5. Escalate when needed. Tier 1 dispatches the chosen target. It uses /mold's agent mode when /cook --auto needs a specification. Tier 2 invokes /culture or /briesearch internally, then repeats the clarity check. Tier 3 blocks on a single targeted host-routed question. Classify the answer again. See ## Escalation.
  6. Ground the wiki when hallouminate is present and the route is escalated. Derive a query from the input. Skip this step on the fast path. A fast route grounds nothing and spends no probe. Make at most one grounding call against the wiki corpus. Resolve the corpus through the corpus listing tool first. Resolve both tool names through references/optional-plugins.md. That reference matches the capability, because each host prefixes the names differently. Use the probe shape in skills/mold/references/grounding.md. Add the best hits to handoff_context.wiki_hits as [{page, line, why}]. See references/handoff-gate.md section Context payloads. When no wiki corpus exists, use references/optional-plugins.md.
  7. Announce — print a short block (Intent / Reason / Target, plus wiki hits when present) per the format in ## Output. Cite the signal that drove the routing decision.
  8. Self-check — run the coherence questions in references/coherence-check.md. If any fails, downgrade to clarify (tier 3) or research.
  9. Dispatch. Without --safe, run the chosen skill and its context packet after the announcement. With --safe, issue a handoff gate from references/handoff-gate.md. Pre-select the recommended target, include an alternative, and put Stop last. Wait for the user's selection before dispatch.

Read the full file on GitHub · 250 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. 4d ago Changed · +109 lines · -31 tokens per session cea440bb7329
  2. 6d ago Changed · +1 lines e8f44ca3f199
  3. 10d ago First seen · 140 lines · 84 tokens per session scan A e76cff3017e4

Subscribe to this mod's changes

cheese is a skill published in the GitHub repository paulnsorensen/easy-cheese (18 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 3,428 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

systemic-issue-triage

Trigger: new issue, bug report, triage, backlog, issue flood, community report, root cause, dead-end, blocked user. Attack issues by root class, never one-by-one; fixes must shrink the system, not grow it.

Gentleman-Programming/gentle-ai · 57 tokens

issue-root-resolution

Trigger: root audit, atacar la raíz, issue roots, backlog roots, mechanism map, deletion-driven fix, resolver issues de raíz, close outdated issues. Audit and resolve issue clusters by verified root cause.

Gentleman-Programming/gentle-ai · 45 tokens

rdd-defect-workflow

Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.

Gentleman-Programming/gentle-ai · 41 tokens

codebase-audit

A read-only method for auditing an entire codebase across contracts, data integrity, errors, security, architecture, technical debt, configuration, and caching. It produces prioritized findings and a repair roadmap.

majiayu000/spellbook · 176 tokens

codex-agent

Use when you want a second-opinion review via Codex CLI, cross-verification after another agent implements changes, debugging help, or alternative implementation proposals. Requires Codex CLI to be installed and authenticated.

majiayu000/spellbook · 45 tokens

project-health-auditor

Comprehensive codebase health analysis. Use when reviewing code quality, identifying technical debt, checking dependencies, or assessing project structure.

majiayu000/spellbook · 31 tokens