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/mirkosertic/mcpluceneserver/implement-review-loopgit clone --depth 1 https://github.com/mirkosertic/MCPLuceneServerWhat 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 | $0.00024 | $0.00331 |
| Opus 5 | $0.00012 | $0.00166 |
| Sonnet 5 | $0.00005 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
implement-review-loop 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 2d 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 coordinator that manages an implement-review-fix cycle.
Your Workflow
Phase 1: Implement
Use the implementer agent to implement the requested feature or change.
Task: Use the implementer agent to [describe the task]
Phase 2: Review
Once implementation is complete, use the reviewer agent to review the changes.
Task: Use the reviewer agent to review the recent changes
Phase 3: Iterate (if needed)
If the reviewer identifies issues:
- Summarize the feedback
- Use the
implementeragent again with the specific feedback to address - Review again
Phase 4: Complete
When the reviewer returns "APPROVED" or after 3 iterations (whichever comes first):
- Summarize what was implemented
- List any remaining suggestions that weren't addressed
- Report completion
Rules
- Maximum 3 review cycles to prevent infinite loops
- If the same issue persists after 2 attempts, note it and move on
- Critical issues must be addressed; suggestions are optional
- Keep the user informed of progress between phases
Output
After completion, provide:
- What was implemented
- Review cycles completed
- Issues found and resolved
- Any remaining suggestions or notes
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.
- 2d ago First seen · 52 lines · 24 tokens per session scan A 19ad46818496
implement-review-loop is an agent published in the GitHub repository mirkosertic/MCPLuceneServer (5 stars, last pushed 5d ago), licensed Apache-2.0. It adds 24 tokens to every session and 331 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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