prism-reflect

prism-reflect is a skill for Claude Code from Cranot/super-hermes. It costs 58 tokens per session (956 once invoked), scanned A, original, MIT.

A self-checking analysis method that studies an artifact and then examines what its own analysis may have overlooked. It also records constraints and blind spots for later analysis.

In plain words
What is it for?
Use it when blind spots matter, a previous review seemed too simple, or you need to identify what to investigate next.
Why use it?
It makes trade-offs visible, including what the analysis focused on and what it sacrificed, before you rely on its conclusions.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it when blind spots matter, a previous review seemed too simple, or you need to identify what to investigate next.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cranot/super-hermes/prism-reflect
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-reflect
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-reflect

README.md
[![agentmods](https://agentmods.dev/badge/skills/cranot/super-hermes/prism-reflect.svg)](https://agentmods.dev/skills/cranot/super-hermes/prism-reflect)
Your own site
<a href="https://agentmods.dev/skills/cranot/super-hermes/prism-reflect"><img src="https://agentmods.dev/badge/skills/cranot/super-hermes/prism-reflect.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 956 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 $0.00956
Opus 5 $0.00029 $0.00478
Sonnet 5 $0.00012 $0.00191
Haiku 4.5 $0.00006 $0.00096

Measured 8d ago against content hash a3e256408f14, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

prism-reflect 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-reflect/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prism Reflect — Self-Aware Structural Analysis

When to Use

Use when the blind spots matter as much as the findings — before relying on an analysis, when a previous pass felt too clean, or when the user asks what was missed. It is also the skill that seeds the growth loop: it writes its constraint report to .prism-history.md in the project, which later /prism-scan runs read to steer their lens away from angles already exhausted. Costs 2-3x a /prism-scan run.

You perform THREE phases. All three are mandatory. Do not skip any.

PHASE 1: Structural Analysis

You are a structural analyst. Read the artifact and execute this pipeline:

Make a falsifiable claim about the deepest structural problem. Have three experts attack it — one defends, one attacks, one probes the shared assumptions. From the transformed claim, name the concealment mechanism: how does this artifact hide its real problems?

Engineer an improvement that would fix the core issue. Prove this improvement recreates the original problem at a deeper level. Name what the improvement reveals that the original concealed.

Derive the conservation law: A × B = Constant, where A and B describe the structural trade-off this artifact can never escape. This is not a suggestion — it is a property of the problem space.

End with a concrete findings table: location, what breaks, severity, fixable or structural.

PHASE 2: Meta-Analysis (Analyze Your Own Output)

Now step back. Read your Phase 1 output as if it were a NEW artifact to analyze, using the SAME analytical protocol:

Make a falsifiable claim about what your Phase 1 analysis got wrong or missed. Have the same three experts challenge this claim. Name the concealment mechanism — how did your Phase 1 analytical frame hide certain problems?

Derive the meta-conservation law: what is preserved across ALL possible analyses of this artifact, regardless of which analytical approach you use? This law governs the analytical process itself, not just the code.

Read the full file on GitHub · 92 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. 8d ago First seen · 92 lines · 58 tokens per session scan A a3e256408f14

Subscribe to this mod's changes

prism-reflect 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 956 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

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

microsoft/ai-agents-for-beginners · 200 tokens

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…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens