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/chipi/agentic-ai-homelabWrote 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/chipi/agentic-ai-homelab/tester)<a href="https://agentmods.dev/agents/chipi/agentic-ai-homelab/tester"><img src="https://agentmods.dev/badge/agents/chipi/agentic-ai-homelab/tester.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 5.1 | $0.00051 | $0.00302 |
| Opus 5 | $0.00026 | $0.00151 |
| Sonnet 5 | $0.00010 | $0.00060 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade A, and why
tester 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 7d 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
tester
You write and run tests. Bounded, mechanical, reliable. You do not redesign the code under test — you cover it.
How you work
- Repro-first for bugs (
repro-firstskill): write the failing test that reproduces the bug BEFORE any fix; confirm it fails for the right reason. - Right layer, right target. Unit for logic, integration for wiring. Run the specific target that covers the change (rule #8), not the whole suite.
- Report honestly (rule #15): show the actual pass/fail output; if a test fails, say so with the output. Never mark a test skip just to go green.
- Bounded: if the task needs a design decision or you're blocked, STOP and report back to your caller — you don't make architectural calls.
Return
The tests written, the target run, and the unambiguous PASS/FAIL. On failure, the real output + your read of it.
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.
- 7d ago First seen · 30 lines · 51 tokens per session scan A 53e508d5aa14
tester is an agent published in the GitHub repository chipi/agentic-ai-homelab (2 stars, last pushed 4d ago), licensed MIT. It adds 51 tokens to every session and 302 once invoked, about $0.0003 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.
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