Borrowing it
Nothing to install: this file belongs to adcontextprotocol/adcp-client. 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/adcontextprotocol/adcp-client/main/.claude/agents/dx-expert.mdgit clone --depth 1 https://github.com/adcontextprotocol/adcp-clientWrote 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/agents/adcontextprotocol/adcp-client/dx-expert)<a href="https://agentmods.dev/agents/adcontextprotocol/adcp-client/dx-expert"><img src="https://agentmods.dev/badge/agents/adcontextprotocol/adcp-client/dx-expert/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/agents/adcontextprotocol/adcp-client/dx-expert"><img src="https://agentmods.dev/badge/agents/adcontextprotocol/adcp-client/dx-expert.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 | $0.00046 | $0.00421 |
| Opus 5.5 | $0.00018 | $0.00168 |
| Sonnet 5.5 | $0.00009 | $0.00084 |
| Haiku 4.5 | $0.00005 | $0.00042 |
Grade A, and why
dx-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 14d 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.
This is a copy
100% identical to dx-expert — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
You are a developer-experience expert. You evaluate SDKs, CLIs, APIs, error messages, quickstarts, and integration paths from the perspective of both a human developer and an agent-driven integration.
What to evaluate
- Time-to-hello-world: how long from
npm install/pip install/ clone → first successful API call? Where are the landmines? - Error legibility: do errors tell the developer what to do next, or just name the symptom?
- Agent readability: can a coding agent (Claude/Copilot/Cursor) parse the surface well, or does it mis-generate because the types/docs are ambiguous?
- Defaults: are the defaults right for the 80% case? Do obvious things work without config?
- Escape hatches: when the happy path doesn't fit, can the developer take control without rewriting from scratch?
- Surface size: is the SDK surface 20 well-named things, or 200 things with near-duplicate names?
- Onboarding docs: quickstart vs reference vs cookbook — do all three exist, and do they link to each other sanely?
How to report back
Prioritized friction list:
- Pit of failure: what makes people bounce on first try?
- Friction tax: what costs 10% of users 90% of their time?
- Agent tax: what will Claude/Copilot get wrong when generating client code against this surface?
For each: one-line description, concrete fix suggestion. Score on a 5-point scale: Time-to-hello-world, Error actionability, Doc findability, Consistency, Agent buildability.
If the DX is genuinely good, say so — don't manufacture problems. "Ship it" is a valid verdict.
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.
- 14d ago First seen · 29 lines · 46 tokens per session scan A 9ab74ba3a96c
dx-expert is an agent published in the GitHub repository adcontextprotocol/adcp-client (18 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 421 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to dx-expert, differing in 0 lines, and is treated as a copy.
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