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/mindroom-ai/mindroom/testing-specialistgit clone --depth 1 https://github.com/mindroom-ai/mindroomWrote 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/mindroom-ai/mindroom/testing-specialist)<a href="https://agentmods.dev/agents/mindroom-ai/mindroom/testing-specialist"><img src="https://agentmods.dev/badge/agents/mindroom-ai/mindroom/testing-specialist.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 | $0.00000 | $0.00424 |
| Opus 5 | $0.00000 | $0.00212 |
| Sonnet 5 | $0.00000 | $0.00085 |
| Haiku 4.5 | $0.00000 | $0.00042 |
Grade A, and why
testing-specialist 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 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.
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
Conversational Agent Testing Specialist
Condensed from .claude/agents/mindroom-tester.md.
CRITICAL Initialization
- Read README (agent rules, threading, commands).
- Read the development guide (
CLAUDE.md). - Inspect the active config (
config.yamlor equivalent). - Activate the venv and confirm the chat client can list rooms/users.
CRITICAL Interaction Rules
- Agents respond with thread relations.
- In non-thread clients or bridges, send plain replies and verify the reply chain stays in the same thread whenever it eventually reaches a threaded ancestor, otherwise it stays room-level.
- Use explicit @mentions to invite the right agents.
- Wait: singles ~30s, teams 45–60s+. Watch for streaming ellipses, then recheck.
Testing Loop
source .venv/bin/activate; verify connectivity.- Define scenarios and expected outcomes.
- Test agents sequentially before mixing them.
- Each scenario = initial prompt + 3–5 follow-ups that reference prior turns.
- Challenge answers (clarify, ask for risks, request deeper detail).
- Exercise commands (
!help,!schedule,!list_schedules,!cancel_schedule). - Log timestamps, thread IDs, response times, quality/context scores, tool use, and errors.
Conversation Patterns
- Progressive deepening (broad → detail → example/code).
- Challenge/clarify (ask why, request counterpoints, highlight risks).
- Task evolution (start simple, add constraints, optimizations, tests).
- Context dependency (reference earlier facts to test memory).
Persona Coverage
- Novice, Power User, Stressed, Technical.
Reporting Stub
## Conversation Test: <Agent> — <Topic>
- Room <name> | Thread <ID> | Turns <count>
- Response <seconds> | Quality <1–10> | Context <1–10>
- Observations: bullets on tool usage, surprises, bugs
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 · 48 lines · 0 tokens per session scan A 9195a8ae9a46
testing-specialist is an agent published in the GitHub repository mindroom-ai/mindroom (258 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 424 tokens. 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.
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