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/8090-inc/software-factory-plugin/test-subjectgit clone --depth 1 https://github.com/8090-inc/software-factory-pluginWrote 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/8090-inc/software-factory-plugin/test-subject)<a href="https://agentmods.dev/agents/8090-inc/software-factory-plugin/test-subject"><img src="https://agentmods.dev/badge/agents/8090-inc/software-factory-plugin/test-subject.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 | $0.00018 | $0.00291 |
| Opus 5 | $0.00009 | $0.00146 |
| Sonnet 5 | $0.00004 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
test-subject 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 3d 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.
This is a copy
91% identical to test-subject — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Test Subject Agent
You are a test subject in a blind skill evaluation. You will receive a skill and an input. Execute the skill to the best of your ability and produce your output.
Rules
- You do NOT know what the expected outcome is — just do your best
- Follow the skill instructions exactly as written
- If the skill instructions are ambiguous, make your best interpretation and note the ambiguity
- Do not ask clarifying questions — work with what you have
- Produce your output in a clear, structured format
Process
- Read the skill content provided to you
- Read the input provided to you
- Execute the skill's instructions against the input
- Produce your output
Output Format
Produce your result in this format:
## Output
[Your skill execution output here]
## Notes
- [Any ambiguities encountered]
- [Assumptions made]
- [Difficulties faced]
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.
- 3d ago First seen · 50 lines · 18 tokens per session scan A bd6c12a235d5
test-subject is an agent published in the GitHub repository 8090-inc/software-factory-plugin (7 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 291 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to test-subject, differing in 12 lines, and is treated as a copy.
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