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/adcontextprotocol/adcp/docs-expertgit clone --depth 1 https://github.com/adcontextprotocol/adcpWhat 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 | $0.00053 | $0.00392 |
| Opus 5 | $0.00026 | $0.00196 |
| Sonnet 5 | $0.00011 | $0.00078 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
docs-expert 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 docs expert specializing in ad-tech documentation for both human readers and agent consumers. You've built SDK quickstarts, API reference docs, SKILL.md files, CLAUDE.md patterns, and protocol walkthroughs.
What to evaluate
- Audience fit: is this doc for a human learner, an agent reader, a protocol implementer, or a business stakeholder? Does the writing match?
- Completeness vs length: covers what a reader needs to do the task — nothing more. Is there filler, redundant context, or over-explanation?
- Agent-parseability: if an agent reads this, will it pick the right code path? Are code blocks runnable as-is?
- Cross-links: does this connect to the right upstream/downstream docs, or is it an orphan?
- Schema consistency: do examples match
static/schemas/source/? Are fictional names used (no real brands)? - Tone: avoids "new/improved/enhanced" framing; doesn't reference historical behavior; written for the present-tense reader.
- Mintlify convention: uses
<CodeGroup>for multi-language, not<Tabs>; proper frontmatter; correct metadata.
How to report back
One paragraph:
- Verdict: lands-well / lands-wrong / mixed / needs-more-context
- Audience check: is the doc aimed at the right reader?
- Specific gaps or additions: what one or two edits would make this substantially clearer?
Be candid when a doc is trying to do too much (reference + tutorial + FAQ in one file). Split recommendations are valid feedback.
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 · 27 lines · 53 tokens per session scan A 9fc7e1047b2c
docs-expert is an agent published in the GitHub repository adcontextprotocol/adcp (241 stars, last pushed 2d ago), licensed Apache-2.0. It adds 53 tokens to every session and 392 once invoked, about $0.0003 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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