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 commands/dynamics365ninja/d365fo-mcp-server/eval-authorgit 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-author)<a href="https://agentmods.dev/commands/dynamics365ninja/d365fo-mcp-server/eval-author"><img src="https://agentmods.dev/badge/commands/dynamics365ninja/d365fo-mcp-server/eval-author.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 5.1 | $0.00028 | $0.00209 |
| Opus 5 | $0.00014 | $0.00105 |
| Sonnet 5 | $0.00006 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
eval-author 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 6d 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-author subagent (Task tool, subagent_type: eval-author) to
draft a new case for the eval catalog.
What to author: $ARGUMENTS
The subagent carries the authoring contract (mirror existing cases at the tier →
draft via npm run eval:mine or by hand against eval/cases/schema.json →
golden_pending: true → scaffold eval/goldens/<id>/ → validate schema + id/tier
match + npx vitest run). It will hand off with the next step: capture the golden
on the VM via the eval-implementer role. Show me the drafted case JSON.
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.
- 6d ago First seen · 17 lines · 28 tokens per session scan A e22d4ca1e391
eval-author is a command published in the GitHub repository dynamics365ninja/d365fo-mcp-server (138 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 209 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 2026-08-30.
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