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 agentmods add instructions/leprachuan/wee-orchestrator/agents-mdgit clone --depth 1 https://github.com/leprachuan/Wee-OrchestratorWrote 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/leprachuan/wee-orchestrator/agents-md)<a href="https://agentmods.dev/instructions/leprachuan/wee-orchestrator/agents-md"><img src="https://agentmods.dev/badge/instructions/leprachuan/wee-orchestrator/agents-md.svg" alt="Measured on agentmods" 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 | $0.03470 | $0.03470 |
| Opus 5 | $0.01735 | $0.01735 |
| Sonnet 5 | $0.00694 | $0.00694 |
| Haiku 4.5 | $0.00347 | $0.00347 |
Grade A, and why
Wee-Orchestrator 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 5d 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 5d ago First seen · 579 lines · 3,470 tokens per session scan A d1e5d2901fb5
Wee-Orchestrator AGENTS.md is an instructions file published in the GitHub repository leprachuan/Wee-Orchestrator (7 stars, last pushed 8d ago), licensed GPL-3.0. It adds 3,470 tokens to every session, about $0.0174 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 2026-08-31.
Other instructions, from other repositories
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Claude Code instructions for RedberryProducts/mcp-client-laravel, covering project overview, commands, file map, architecture and request flow.
skillfoundry copilot-instructions.md
Copilot instructions for samibs/skillfoundry, covering github copilot — skillfoundry project instructions, identity, non-negotiable rules, code quality and security.
skillfoundry AGENTS.md
AGENTS.md instructions for samibs/skillfoundry, covering what this is, philosophy, how to use skills, available skills by category and core workflow.
mcp-client-laravel AGENTS.md
AGENTS.md instructions for RedberryProducts/mcp-client-laravel: See CLAUDE.md for the full set of agent-facing guidance — project overview, commands, file map, architecture, conventions, and definition of done. Domain-specific rules live in .claude/rules/.
skillfoundry CLAUDE.md
Claude Code instructions for samibs/skillfoundry, covering claude.md — skillfoundry framework project instructions, philosophy, mandatory production rules, ui/layout rules and documentation rules.
apex-accelerator vendor-prompting.instructions.md
Vendor prompting best-practice rules for Anthropic Claude and OpenAI GPT-5.6-Terra agents and prompts. Each rule cites a rule ID in the vendor-prompting skill rules.json registry. Validator: npm run lint:vendor-prompting.