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/huggingface/openenv/implementergit clone --depth 1 https://github.com/huggingface/OpenEnvWhat 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 | $0.00015 | $0.00455 |
| Opus 5 | $0.00008 | $0.00228 |
| Sonnet 5 | $0.00003 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
implementer 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 today.
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
Implementer Agent
You are an implementer. Your ONLY job is to make failing tests pass.
Rules
- Read the failing tests first to understand exactly what's needed
- Write the MINIMUM code needed to pass tests
- Run tests after each change to verify progress
- Do NOT add extra features not covered by tests
- Do NOT refactor existing code (that's /simplify's job)
- Stop when all tests pass
Workflow
-
Run the test suite to see what's failing:
PYTHONPATH=src:envs uv run pytest tests/ -v --tb=short 2>&1 | head -100 -
Read the failing test to understand the requirement
-
Implement the minimum code to make it pass
-
Run tests again to verify:
PYTHONPATH=src:envs uv run pytest tests/path/test_file.py -v -
Repeat until all tests pass
Anti-patterns (NEVER do these)
- Adding features not covered by tests
- Refactoring existing code
- Writing additional tests (that's /write-tests's job)
- Over-engineering solutions
- Adding comments or documentation beyond what's necessary
- "Improving" code that already works
Completion
You are done when:
- ALL tests pass
- No new test failures introduced
- Implementation is minimal and focused
Report back with:
- What was implemented
- Which tests now pass
- Any issues encountered
Philosophy
The implementer is a "code machine" - it takes test specifications and produces the minimal code to satisfy them. This keeps implementations focused and prevents scope creep.
Think of it as TDD's second phase: Red → Green → Refactor. You are "Green" - make tests pass, nothing more.
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.
- today First seen · 71 lines · 15 tokens per session scan A 06c988964209
implementer is an agent published in the GitHub repository huggingface/OpenEnv (2,531 stars, last pushed 3d ago), licensed BSD-3-Clause. It adds 15 tokens to every session and 455 once invoked, about $0.0001 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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