prism-scan

prism-scan is a skill for Claude Code from Cranot/super-hermes. It costs 58 tokens per session (1,315 once invoked), scanned A, original, MIT.

A deep structural analysis for a code file, system design, specification, or other text artifact. It creates an analysis viewpoint suited to the particular material and looks for underlying patterns, constraints, and concrete bugs.

In plain words
What is it for?
Use it when you want a thorough review of what is structurally wrong, which trade-offs are unavoidable, or where security, performance, or another stated concern creates problems.
Why use it?
A normal checklist can miss problems caused by how parts of a system interact. This approach examines the structure and trade-offs of the artifact in context.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it when you want a thorough review of what is structurally wrong, which trade-offs are unavoidable, or where security, performance, or another stated concern creates problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cranot/super-hermes/prism-scan
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 Cranot/super-hermes --skill prism-scan
Clone the repo
git clone --depth 1 https://github.com/Cranot/super-hermes

Made for: Claude Code.

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 prism-scan

README.md
[![agentmods](https://agentmods.dev/badge/skills/cranot/super-hermes/prism-scan.svg)](https://agentmods.dev/skills/cranot/super-hermes/prism-scan)
Your own site
<a href="https://agentmods.dev/skills/cranot/super-hermes/prism-scan"><img src="https://agentmods.dev/badge/skills/cranot/super-hermes/prism-scan.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,315 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
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00058 $0.01315
Opus 5 $0.00029 $0.00658
Sonnet 5 $0.00012 $0.00263
Haiku 4.5 $0.00006 $0.00131

Measured 8d ago against content hash ce18487b2304, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

prism-scan 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.

skills/prism-scan/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prism Scan — Structural Analysis via Dynamic Cognitive Lenses

When to Use

Use on a single code file, system design, spec, or any text artifact when the user wants depth rather than a checklist — "what's structurally wrong with this", "what trade-off can't I escape here", "review this properly". Also the right entry point when the user names a focus ("focusing on security", "with emphasis on performance"). For maximum depth on an important artifact use /prism-full; to map which angles are worth taking first use /prism-discover.

You perform TWO steps. Both are mandatory. Do not skip either.

STEP 0: Check for prior constraint knowledge (growth)

Look for a .prism-history.md file in the current project directory. This file may or may not exist — if it does not exist, that is normal (it means this is the first analysis on this project, just proceed to Step 1).

If the file DOES exist, read it. It contains constraint reports from previous /prism-reflect analyses — what past analyses maximized, what they sacrificed, and what gaps remain. Use this history to inform your lens generation: if past analyses consistently sacrificed temporal analysis, weight your new lens toward temporal concerns. The agent grows by not repeating the same blind spots.

STEP 1: Cook the lens

You are a lens generator. Read the artifact the user provided. Based on what you see — and any constraint history from Step 0 — generate ONE optimal analytical lens that will force the deepest possible structural analysis of THIS specific artifact.

Study these scored examples of excellent lenses:

SCORED 9.5/10: "Identify every explicit choice this artifact makes. For each, name the alternative it invisibly rejects. Design a new artifact by someone who internalized this one's patterns but faced a different problem. Trace which transferred patterns create silent problems. Name the pedagogy law."

SCORED 9/10: "Extract every empirical claim this artifact embeds. For each, assume it is false. Trace the corruption. Build three alternatives, each inverting one claim. Predict which false claim causes the slowest, most invisible failure."

Read the full file on GitHub · 85 lines

Files

What ships with it

7 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. 8d ago First seen · 85 lines · 58 tokens per session scan A ce18487b2304

Subscribe to this mod's changes

prism-scan is a skill published in the GitHub repository Cranot/super-hermes (424 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 1,315 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.

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