Borrowing it
Nothing to install: this file belongs to Immersive-commons/ic-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Immersive-commons/ic-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/Immersive-commons/ic-skillsWrote 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/instructions/immersive-commons/ic-skills/agents-md)<a href="https://agentmods.dev/instructions/immersive-commons/ic-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/immersive-commons/ic-skills/agents-md/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/instructions/immersive-commons/ic-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/immersive-commons/ic-skills/agents-md.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 | $0.02165 | $0.02165 |
| Opus 5.5 | $0.00866 | $0.00866 |
| Sonnet 5.5 | $0.00433 | $0.00433 |
| Haiku 4.5 | $0.00216 | $0.00216 |
Grade A, and why
ic-skills AGENTS.md 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — calling Immersive Commons directly
This file is for a coding agent (Claude Code, Cursor, Copilot, etc.) that
wants to call the Immersive Commons agent API itself, rather than installing
one of the packaged walkthroughs in skills/. Every fact below is sourced
from the live site's own machine-readable docs — nothing here is invented.
If something looks stale, the live documents win; file a report per
"Questions / broken links" in the root README.
What Immersive Commons is
Floor 10 of Frontier Tower SF — a members-run space for AI builders. The
site exposes a 138-tool agent surface across REST, MCP, and A2A behind one
per-user bearer token. Full narrative: https://www.immersivecommons.com/auth.md.
The MCP server (recommended transport)
https://www.immersivecommons.com/api/mcp
Streamable HTTP. 138 tools total: 128 need a bearer token, 10 are public
(no auth). Discovery manifest (tool list, scopes, skills catalog):
https://www.immersivecommons.com/.well-known/mcp.json.
Other equivalent transports (same 138 capabilities, same auth):
- A2A (JSON-RPC 2.0):
https://www.immersivecommons.com/api/a2a— methodsagent/info,agent/capabilities(public),tasks/send(bearer). - REST: per-endpoint catalog in
https://www.immersivecommons.com/.well-known/ai-agent.jsonandhttps://www.immersivecommons.com/openapi.json(OpenAPI 3.1).
Prefer MCP — least glue for most clients.
The 10 public tools (no token required)
Per /.well-known/mcp.json → public_tools:
| Tool | What |
|---|---|
ic_signal_list_issues |
THE SIGNAL issue summaries, newest first. |
ic_signal_get_latest |
Most-recent SIGNAL issue summary. |
ic_signal_get_issue |
Full issue tree (beats + stories + meta + sources). |
ic_signal_get_story |
Single story by slug + story_id. |
ic_signal_search |
Ranked substring search across every SIGNAL issue. |
ic_news_get |
Velocity-ranked AI news feed (the newagg firehose). |
ic_presentations_list |
Community talks archive (IC / VCN / ClawCamp), newest-first. |
ic_presentations_get |
One presentation by VCN session number. |
ic_donate |
x402 donation tiers + wallet + donate URL (USDC on Base). |
ic_donations_total |
Running donation total + donor wall. |
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 · 171 lines · 2,165 tokens per session scan A 3a537f620b90
ic-skills AGENTS.md is an instructions file published in the GitHub repository Immersive-commons/ic-skills (0 stars, last pushed 1mo ago), licensed MIT. It adds 2,165 tokens to every session, about $0.0087 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 2026-08-31.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).