Borrowing it
Nothing to install: this file belongs to pranee54/AgentDoctor. 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/pranee54/AgentDoctor/main/.cursor/skills/agentdoctor-dashboard-product-design/SKILL.mdgit clone --depth 1 https://github.com/pranee54/AgentDoctorWrote 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/skills/pranee54/agentdoctor/agentdoctor-dashboard-product-design)<a href="https://agentmods.dev/skills/pranee54/agentdoctor/agentdoctor-dashboard-product-design"><img src="https://agentmods.dev/badge/skills/pranee54/agentdoctor/agentdoctor-dashboard-product-design/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/skills/pranee54/agentdoctor/agentdoctor-dashboard-product-design"><img src="https://agentmods.dev/badge/skills/pranee54/agentdoctor/agentdoctor-dashboard-product-design.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 | $0.00080 | $0.01156 |
| Opus 5.5 | $0.00032 | $0.00462 |
| Sonnet 5.5 | $0.00016 | $0.00231 |
| Haiku 4.5 | $0.00008 | $0.00116 |
Grade A, and why
agentdoctor-dashboard-product-design 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 29d 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.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AgentDoctor Dashboard Product Design
AgentDoctor is a software project intelligence and assurance platform.
The dashboard must help a user understand their project, find problems, learn how it works, inspect evidence, safely make changes, and verify those changes.
The dashboard must NOT look like:
- a raw JSON API viewer
- an admin CRUD panel
- a developer debug console
- a generic SaaS template
- a monitoring dashboard full of meaningless charts
It should feel like a serious engineering product.
Full design bible: reference.md — follow it for Home, navigation, components, truth model, security UX, student UX, visual language, audit matrix, and verification.
Absolute rules
- Do not invent backend capabilities.
- Before changing UI, inspect existing API routes, contracts, dashboard handlers, types, and frontend implementation.
- Backend truth is authoritative.
- Do not fabricate scores, metrics, evidence, or pages.
- Preserve safety: approvals, path safety, workspace isolation, truth labels, evidence. No unrestricted shell.
- Keep API contracts backward compatible.
Canonical code locations
Inspect first (paths may grow; start here):
| Area | Location |
|---|---|
| Embedded dashboard | src/dashboard/server.ts |
| Package version | src/constants.ts → PACKAGE_VERSION |
| Status / ops health | src/ops/health.ts, /api/status |
| Product APIs | src/product/**, dashboard /api/* handlers in server.ts |
| Chat | /api/chat + src/agent/chat/** |
| Tests | tests/unit/product/dashboard-*.test.ts, e2e if present |
Mandatory workflow
Copy and track:
Dashboard task:
- [ ] 1. Read this skill + reference.md sections relevant to the change
- [ ] 2. Inventory routes/endpoints/types from code (not memory)
- [ ] 3. Sample real API responses (nullable/optional fields)
- [ ] 4. Audit current page(s) against the design hierarchy
- [ ] 5. Implement UI consuming real contracts only
- [ ] 6. Loading / empty / error / technical-details states
- [ ] 7. Version labels from PACKAGE_VERSION / status API only
- [ ] 8. Verify (suite + browser + no overflow / broken routes)
- [ ] 9. Final output block (see below)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 29d ago First seen · 139 lines · 80 tokens per session scan A fc28726e7c9b
agentdoctor-dashboard-product-design is a skill published in the GitHub repository pranee54/AgentDoctor (10 stars, last pushed 2d ago), licensed MIT. It adds 80 tokens to every session and 1,156 once invoked, about $0.0003 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 2026-09-28.
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