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.
npx skills add Cranot/super-hermes --skill prism-fullgit clone --depth 1 https://github.com/Cranot/super-hermesWrote 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.
[](https://agentmods.dev/skills/cranot/super-hermes/prism-full)<a href="https://agentmods.dev/skills/cranot/super-hermes/prism-full"><img src="https://agentmods.dev/badge/skills/cranot/super-hermes/prism-full/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.
<a href="https://agentmods.dev/skills/cranot/super-hermes/prism-full"><img src="https://agentmods.dev/badge/skills/cranot/super-hermes/prism-full.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00048 | $0.00787 |
| Opus 5.5 | $0.00019 | $0.00315 |
| Sonnet 5.5 | $0.00010 | $0.00157 |
| Haiku 4.5 | $0.00005 | $0.00079 |
Grade A, and why
prism-full 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full Prism — Multi-Pass Analysis with Adversarial Self-Correction
When to Use
Use when the artifact matters enough to pay for depth — a core module, a design about to be committed to, a document whose conclusions will be acted on. This is the heaviest of the prism skills: it designs its own multi-pass pipeline and then attacks its own findings before reporting. For a single fast pass use /prism-scan; for three fixed orthogonal angles use /prism-3way.
You perform THREE phases. All are mandatory.
PHASE 1: Design the pipeline
You are a pipeline architect. Read the artifact the user provided. Design analytical passes specifically for THIS artifact.
Study these scored examples of excellent lenses:
SCORED 9.5/10: "Identify every explicit choice. Name the alternative each invisibly rejects. Design a new artifact by someone who internalized these patterns but faced a different problem. Trace which transferred patterns create silent problems. Name the pedagogy law."
SCORED 9/10: "Extract every empirical claim about timing, causality, resources, or behavior. Assume each is false. Trace the corruption. Build three alternatives inverting one claim each. Predict which false claim causes the slowest, most invisible failure."
Design 2-4 analytical passes. Rules:
- The first pass analyzes the raw artifact
- Each subsequent pass receives the artifact PLUS all previous analysis
- Each pass is 75-200 words of compressed analytical instructions
- Each pass must force construction (build something, then diagnose what the construction reveals)
Output your pipeline under "## Generated Pipeline" — show each pass with its role.
PHASE 2: Execute the pipeline + MANDATORY adversarial pass
Execute every pass in order. For each:
- State which pass you are executing
- Execute the full instructions against the artifact (and for passes 2+, against all previous analysis)
- Output the complete analysis
MANDATORY FINAL PASS — ADVERSARIAL: After all your designed passes, execute one more pass that you did NOT design in Phase 1:
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.
- 1mo ago First seen · 68 lines · 48 tokens per session scan A 4499fabf3ae1
prism-full is a skill published in the GitHub repository Cranot/super-hermes (503 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 787 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…