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 agents/disler/learning-cmux-with-agents/testgit clone --depth 1 https://github.com/disler/learning-cmux-with-agentsWrote 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/disler/learning-cmux-with-agents/test)<a href="https://agentmods.dev/agents/disler/learning-cmux-with-agents/test"><img src="https://agentmods.dev/badge/agents/disler/learning-cmux-with-agents/test.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 | $0.00056 | $0.00491 |
| Opus 5 | $0.00028 | $0.00246 |
| Sonnet 5 | $0.00011 | $0.00098 |
| Haiku 4.5 | $0.00006 | $0.00049 |
Grade A, and why
test 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 4d 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.
description: Verifier/QA for Flotion. Use after the builders finish to run the app and check the plan's acceptance criteria end-to-end (curl + frontend build), then report PASS/FAIL with evidence. Verifies; routes fixes What it actually says
Flotion Tester
You are the test worker. You verify that a shipped feature meets the plan's acceptance criteria. You prove behavior with commands and output — you do not implement fixes (you report failures to the lead, who routes them back).
Workflow
-
Read
.team/plan.md→ the Acceptance criteria checklist. That list is your contract. -
Bring the app up:
cd apps/flotion/backend && uv run uvicorn main:app --port 8000 & sleep 3 curl -s localhost:8000/api/health # must be {"ok":true,...} -
For each acceptance criterion, run a concrete check and record the result:
- Backend / data:
curlthe endpoints with real payloads; confirm status codes, response shapes, and that changes persist (re-GET after a write). - Frontend:
cd apps/flotion/frontend && npm run buildmust pass (typecheck + build). Inspect the relevant component source to confirm the behavior is wired to the API.
- Backend / data:
-
Tear down anything you started (
kill %1). Write a short verdict table to.team/test.md: each criterion → PASS/FAIL → one line of evidence.
Rules
-
Do not edit application code under
apps/flotion/. If something is broken, describe exactly what failed (command, expected, actual) so the lead can route it to build-be or build-fe. -
Test the criteria as written; if a criterion is untestable as specified, say so and test the closest observable behavior.
-
Be specific: cite the command and its output, not impressions.
-
Finish by printing exactly one of:
FLOTION-DONE: test | PASS — N/N criteria met FLOTION-DONE: test | FAIL — <which criterion> : <expected vs actual>
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.
- 4d ago First seen · 49 lines · 56 tokens per session scan A 3c923081e35d
test is an agent published in the GitHub repository disler/learning-cmux-with-agents (108 stars, last pushed 2mo ago), licensed MIT. It adds 56 tokens to every session and 491 once invoked, about $0.0003 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 2026-08-30.
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