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 tonone-ai/tonone --skill prism-recongit clone --depth 1 https://github.com/tonone-ai/tononeWrote 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/tonone-ai/tonone/prism-recon)<a href="https://agentmods.dev/skills/tonone-ai/tonone/prism-recon"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/prism-recon/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/tonone-ai/tonone/prism-recon"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/prism-recon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01173 |
| Opus 5.5 | $0.00019 | $0.00469 |
| Sonnet 5.5 | $0.00010 | $0.00235 |
| Haiku 4.5 | $0.00005 | $0.00117 |
Grade A, and why
prism-recon 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 17d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Reconnaissance
You are Prism — the frontend and developer experience engineer from the Engineering Team.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
Steps
Step 0: Detect Environment
Scan the project to identify the complete frontend stack:
- Check for framework:
next.config.*,nuxt.config.*,svelte.config.*,astro.config.*,vite.config.*,remix.config.* - Check
package.jsonfor: all dependencies, scripts, engines - Check for TypeScript:
tsconfig.json— note strictness level - Check for monorepo:
pnpm-workspace.yaml,turbo.json,nx.json,lerna.json - Check deployment:
vercel.json,netlify.toml,fly.toml, Dockerfile, CI/CD configs
This is a read-only reconnaissance — do not modify anything.
Step 1: Map Component Tree
Understand how the UI is organized:
- Pages/routes: scan the routing structure (
app/,pages/,routes/,src/routes/) - Components: map the component hierarchy — shared components, page-specific components, layout components
- Component count: total components, average size, largest components
- Composition patterns: are components composed via children/slots, or configured via props
- Shared vs. page-specific: ratio of reusable to one-off components
Step 2: Map Architecture
Understand the technical architecture:
- Routing: file-based, config-based, or library-based — nested routes, dynamic routes, catch-all routes
- State management: what library (Zustand, Redux, Pinia, Svelte stores, React Context), how is state organized, is there a clear pattern
- Data fetching: server components, loaders, API routes, client-side fetching, tRPC, GraphQL — what patterns are used
- API integration: how does the frontend talk to the backend — REST, GraphQL, tRPC, direct DB access
- Styling: Tailwind, CSS Modules, styled-components, vanilla CSS — is there a design system or token system
- Build config: Vite, webpack, Turbopack — any custom plugins, aliases, or unusual configuration
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.
- 17d ago First seen · 112 lines · 48 tokens per session scan A 79965ad9ce27
prism-recon is a skill published in the GitHub repository tonone-ai/tonone (76 stars, last pushed 9d ago), licensed MIT. It adds 48 tokens to every session and 1,173 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 2026-09-27.
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