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 Shailesh200/prism --skill prism-onboardgit clone --depth 1 https://github.com/Shailesh200/prismWrote 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/shailesh200/prism/prism-onboard)<a href="https://agentmods.dev/skills/shailesh200/prism/prism-onboard"><img src="https://agentmods.dev/badge/skills/shailesh200/prism/prism-onboard/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/shailesh200/prism/prism-onboard"><img src="https://agentmods.dev/badge/skills/shailesh200/prism/prism-onboard.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 | $0.00068 | $0.00488 |
| Opus 5 | $0.00034 | $0.00244 |
| Sonnet 5 | $0.00014 | $0.00098 |
| Haiku 4.5 | $0.00007 | $0.00049 |
Grade A, and why
prism-onboard 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 3d 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.
What it actually says
Get your bearings first
Answering a structural question from the two or three files that happen to be open produces confident, wrong answers. The files an agent opens first are not a sample of the repository; they are a sample of what the user was last looking at.
The procedure
1. repository_dna. One call, and the fastest way to know what this project
is: languages, frameworks, size, how it is organised. Start here on any repo you
have not seen this session.
2. Then follow the question.
- Layout and architecture →
repository_map - Monorepo, or you saw multiple packages →
list_packages - Where the important code lives →
landmarks - Frameworks and versions in detail →
stack_profile - What this directory is for →
explain_area - Product surfaces rather than folders →
list_features,feature_graph - General health, before proposing changes →
repository_health
Two or three calls is usually enough. The point is to stop guessing, not to inventory everything before answering.
3. Answer in your own words. Summarise what you found. Do not paste tool output at the user — they asked a question, not for a report.
When the question is about a symbol, not the repository
Skip straight to find_symbol or search_symbols, then find_references.
Orientation is for structural questions; a specific lookup does not need it.
Before you edit anything here
Orientation tells you where things are. It does not tell you what breaks if you
change them — use blast_radius for that, per the prism-safe-change skill.
Note on timing
The first intelligence call in a session builds the index and can take a few
seconds on a large repository. That is once, not per call. If you see
PRISM_INDEX_REQUIRED, wait briefly and retry rather than falling back to
reading files at random.
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.
- 3d ago First seen · 51 lines · 68 tokens per session scan A be69b333dea8
prism-onboard is a skill published in the GitHub repository Shailesh200/prism (3 stars, last pushed yesterday), licensed MIT. It adds 68 tokens to every session and 488 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 2026-09-05.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.