Borrowing it
Nothing to install: this file belongs to dynamics365ninja/d365fo-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dynamics365ninja/d365fo-mcp-server/main/.claude/commands/eval-improve.mdgit clone --depth 1 https://github.com/dynamics365ninja/d365fo-mcp-serverWrote 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/commands/dynamics365ninja/d365fo-mcp-server/eval-improve)<a href="https://agentmods.dev/commands/dynamics365ninja/d365fo-mcp-server/eval-improve"><img src="https://agentmods.dev/badge/commands/dynamics365ninja/d365fo-mcp-server/eval-improve/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/commands/dynamics365ninja/d365fo-mcp-server/eval-improve"><img src="https://agentmods.dev/badge/commands/dynamics365ninja/d365fo-mcp-server/eval-improve.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 | $0.00025 | $0.00212 |
| Opus 5.5 | $0.00010 | $0.00085 |
| Sonnet 5.5 | $0.00005 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
eval-improve 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 2mo 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
Launch the eval-improver subagent (Task tool, subagent_type: eval-improver)
to run the improver role of the D365FO agent eval loop.
Focus for this run: $ARGUMENTS
(If blank, take the top-priority actionable cluster from npm run eval:clusters.)
The subagent already carries the full protocol (survey corpus → confirm rubric class → reproduce as a VM-free repo test → fix tool/knowledge/validator → validate full suite + held-out split → open a PR citing corpus evidence). Do not re-explain it. Relay the subagent's verdict and the resulting diff/PR back to me. Do not commit or push unless I ask.
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.
- 2mo ago First seen · 18 lines · 25 tokens per session scan A b3044d2b0629
eval-improve is a command published in the GitHub repository dynamics365ninja/d365fo-mcp-server (165 stars, last pushed 2d ago), licensed MIT. It adds 25 tokens to every session and 212 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 2026-08-30.
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