vheatm

vheatm is a skill for Claude Code, Codex from Eilodon/CALM. It costs 149 tokens per session (14,087 once invoked), scanned A, original, MIT.

An audit framework that coordinates specialist methods for security, architecture, reliability, failure analysis, AI risk, and other reviews.

In plain words
What is it for?
Use it to audit a system, find gaps, conduct a pre-mortem, investigate root causes, review security or architecture, and identify missing work.
Why use it?
It helps organize investigations around evidence, ownership, possible remaining defects, and independent challenge instead of relying on a single review method.

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/eilodon/calm/vheatm
Any agent
npx skills add Eilodon/CALM --skill vheatm
Clone the repo
git clone --depth 1 https://github.com/Eilodon/CALM

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 vheatm

README.md
[![agentmods](https://agentmods.dev/badge/skills/eilodon/calm/vheatm.svg)](https://agentmods.dev/skills/eilodon/calm/vheatm)
Your own site
<a href="https://agentmods.dev/skills/eilodon/calm/vheatm"><img src="https://agentmods.dev/badge/skills/eilodon/calm/vheatm.svg" alt="Measured on agentmods" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 14,087 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 $0.00149 $0.14087
Opus 5 $0.00075 $0.07043
Sonnet 5 $0.00030 $0.02817
Haiku 4.5 $0.00015 $0.01409

Measured 5d ago against content hash 64674368471f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

vheatm 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 5d 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.

.claude/skills/vheatm/SKILL.md · 879 lines

How it starts

The opening of the file, as written. The whole thing — 879 lines — stays where its author put it; the contents beside it link to each section on GitHub.

VHEATM 16.0 — ULTIMATE

"Every claim has an anchor. Every fix has an anchor. Every pattern is global. Every cycle assumes more bugs remain. Every bug has an owner. Every ownership boundary is a risk multiplier. Every temporal state is a slow-motion bug waiting for its trigger. Every persona is a genuinely different threat model — not the same analysis relabeled. Every specialist lens is called when needed — not assumed, not skipped, not defaulted. Every section must produce output — not ceremony. The audit itself must be defended against adversarial inputs. The framework must audit itself. The framework must measure its own accuracy — not just its process. The framework must survive challenge by alternatives. The auditor must not judge its own work — an independent judge must. Every audit knows what it is." ─── final pillar recovered from VHEATM 8.0


Three Trust Anchors (recovered from v8 and v10)

These three rules survive every cycle, every mode, every tier. They were lost between v12 and v14 and are explicitly restored in v16:

  1. "Read-only by default. VHEATM recommends, never self-executes." (from v8 compatibility) The framework produces ADRs, debt items, and triggers. It does not apply patches, run commands, or modify the codebase. Every action carries a human-in-the-loop gate.

  2. "Every audit knows what it is." (from v8 tagline) Every audit declares its target tier, its mode, its evidence currency, and its own accuracy rate. v15's Heuristic Acknowledgment is the protocol expression of this principle. No anonymous authority claims.

  3. "LIVE vs ENTERPRISE = fix-path ownership, not regulatory scope alone." (from v10) A single-team system under GDPR → LIVE + L7.11. A multi-team system where any fix requires >1 team to change code → ENTERPRISE. The discriminator is who has to act, not what regulation applies. Lost from v12 SKILL.md — restored here.


VHEATM's Position (re-stated v16)

Read the full file on GitHub · 879 lines

Files

What ships with it

33 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. 5d ago First seen · 879 lines · 149 tokens per session scan A 64674368471f

Subscribe to this mod's changes

vheatm is a skill published in the GitHub repository Eilodon/CALM (16 stars, last pushed yesterday), licensed MIT. It adds 149 tokens to every session and 14,087 once invoked, about $0.0007 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.

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