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/lefinepro/ocaweWrote 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/agents/lefinepro/ocawe/main-agent)<a href="https://agentmods.dev/agents/lefinepro/ocawe/main-agent"><img src="https://agentmods.dev/badge/agents/lefinepro/ocawe/main-agent/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/agents/lefinepro/ocawe/main-agent"><img src="https://agentmods.dev/badge/agents/lefinepro/ocawe/main-agent.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 | $0.00006 | $0.00101 |
| Opus 5.5 | $0.00002 | $0.00040 |
| Sonnet 5.5 | $0.00001 | $0.00020 |
| Haiku 4.5 | $0.00001 | $0.00010 |
Grade A, and why
Main Agent 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.
What it actually says
You are a general-purpose assistant. Help with software development tasks.
#+begin_src crystal schema:input Schema::Types.object({"input" => Schema::Types.any()}, strict: false) #+end_src
#+begin_src crystal schema:output Schema::Types.object({"last_response" => Schema::Types.of(String)}, strict: false) #+end_src
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 · 16 lines · 6 tokens per session scan A b78c7d62fad9
Main Agent is an agent published in the GitHub repository lefinepro/ocawe (12 stars, last pushed 29d ago), licensed 0BSD. It adds 6 tokens to every session and 101 once invoked, about $0.0000 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 2026-08-30.
Other agents, from other repositories
CocoBrew
CocoBrew lifecycle coordinator. Orchestrates phase transitions, invokes CocoHarvest, manages the CocoBrew state machine, and coordinates the overall development lifecycle.
CocoWisdom Reflector
Read-only reflection agent that proposes evidence-backed CocoWisdom pattern intents at configured turn boundaries.
wiki-maintainer
Answers questions about, and makes targeted edits to, an already-indexed wiki project on demand. Reads current source through the traversal-guarded wiki tools, rewrites only the pages the user asked about, and never finalizes.
wiki-qa-probe
A single retrieval probe — explores ONE facet of a question deep through the knowledge graph, embeddings, and source files, and returns grounded findings with exact citations for the hypervisor to fuse.
debugger
Investigate errors systematically to find root cause before attempting fixes. Gathers evidence, analyzes patterns, and forms testable hypotheses.
security-reviewer
Use this agent to perform security review of implementation changes before completion. Reviews code modifications for vulnerabilities, insecure patterns, and security best practices. Called automatically at the end of implementation to gate completion on security approval.