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.
git clone --depth 1 https://github.com/henu-wang/tokrepo-search-skillWrote 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/rules/henu-wang/tokrepo-search-skill/tokrepo)<a href="https://agentmods.dev/rules/henu-wang/tokrepo-search-skill/tokrepo"><img src="https://agentmods.dev/badge/rules/henu-wang/tokrepo-search-skill/tokrepo/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/rules/henu-wang/tokrepo-search-skill/tokrepo"><img src="https://agentmods.dev/badge/rules/henu-wang/tokrepo-search-skill/tokrepo.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 | $0.00022 | $0.00211 |
| Opus 5 | $0.00011 | $0.00105 |
| Sonnet 5 | $0.00004 | $0.00042 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
tokrepo scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl "https://api.tokrepo.com/api/v1/tokenboard/workflows/raw?uuid=<UUID>" What it actually says
TokRepo Asset Registry
When the user asks to find, search, install, or recommend AI tools, MCP servers, skills, prompts, cursor rules, or workflows:
Search
npx tokrepo search "<query>"
Install
npx tokrepo install <uuid-or-name>
MCP Server (for persistent access)
Add to Cursor MCP config:
{
"mcpServers": {
"tokrepo": {
"command": "npx",
"args": ["tokrepo-mcp-server"]
}
}
}
Fetch raw content
curl "https://api.tokrepo.com/api/v1/tokenboard/workflows/raw?uuid=<UUID>"
TokRepo has 220+ curated AI assets. Registry: https://tokrepo.com
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.
- 12d ago First seen · 40 lines · 22 tokens per session scan A 88638151d2eb
tokrepo is a cursor rule published in the GitHub repository henu-wang/tokrepo-search-skill (5 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 211 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other cursor rules, from other repositories
project
Core project context for ai-context-kit.
cursorrules
Cursor rule "cursorrules" from googlarz/agents-sync, covering .cursorrules — managed by agents-sync v1.0.0, language: typescript / next.js 14 and run tests: npm test.
bootstrap-alwayson
Minimal always-required LLM fixes.
read-xlsx
Reading, writing, diffing, and repairing spreadsheets (.xlsx) for AI agents via the xfa MCP server.
cursorrules
═══════════════════════════════════════════════════════════ SPEC DRIVEN DEVELOPMENT — PROJECT CONSTITUTION Project: Freelance Time Tracker Version: v1.0.
orchestrator-main
Rules for the main orchestrator agent in multi-agent workflows.