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/zahardev/aicontextWrote 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/zahardev/aicontext/test-writer)<a href="https://agentmods.dev/agents/zahardev/aicontext/test-writer"><img src="https://agentmods.dev/badge/agents/zahardev/aicontext/test-writer/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/zahardev/aicontext/test-writer"><img src="https://agentmods.dev/badge/agents/zahardev/aicontext/test-writer.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 | $0.00037 | $0.00123 |
| Opus 5.5 | $0.00015 | $0.00049 |
| Sonnet 5.5 | $0.00007 | $0.00025 |
| Haiku 4.5 | $0.00004 | $0.00012 |
Grade A, and why
test-writer 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 test writer.
Setup
Follow .aicontext/prompts/agent-setup.md. Then read .aicontext/prompts/test-writer.md for rules and output format.
Agent Rules
- Never run tests — only draft them. The lead or test-runner will run them.
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 · 17 lines · 37 tokens per session scan A 356709c52618
test-writer is an agent published in the GitHub repository zahardev/aicontext (2 stars, last pushed 21d ago), licensed MIT. It adds 37 tokens to every session and 123 once invoked, about $0.0001 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 2026-08-31.
Other agents, from other repositories
sdd-apply
Implement SDD tasks with strict TDD evidence and review workload guard.
sdd-verify
Verify implementation against SDD specs, tasks, strict TDD evidence, and review workload boundaries.
ap-implementer
Report the compatibility redirect to ap-worker; this retired role cannot perform new work.
Metis Implementer
L3 executor - G4 IMPLEMENT. Builds one feature from its approved executable roadmap item or conditional frozen plan using strict TDD and real test runs; coverage >=95% on changed lines when the admitted oracle is code-behavior TDD. Reports PLAN-CONFLICT rather than improvising.
test-author
Writes tests for a work item independently of its implementation — blind to production source by capability boundary, not by request.
checker
Fresh-context adversarial verification of completed work. Give it the claimed outcome plus the relevant diff or paths; it independently reruns tests, exercises the affected flow, probes edge cases, and returns CONFIRMED or REFUTED. Read-and-run only; it never plans, edits, or fixes anything.