Borrowing it
Nothing to install: this file belongs to gtr36/personal-health-graph. 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/gtr36/personal-health-graph/main/.claude/skills/dashboard/SKILL.mdgit clone --depth 1 https://github.com/gtr36/personal-health-graphWrote 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/gtr36/personal-health-graph/dashboard)<a href="https://agentmods.dev/skills/gtr36/personal-health-graph/dashboard"><img src="https://agentmods.dev/badge/skills/gtr36/personal-health-graph/dashboard/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/gtr36/personal-health-graph/dashboard"><img src="https://agentmods.dev/badge/skills/gtr36/personal-health-graph/dashboard.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 | $0.00042 | $0.00134 |
| Opus 5.5 | $0.00017 | $0.00054 |
| Sonnet 5.5 | $0.00008 | $0.00027 |
| Haiku 4.5 | $0.00004 | $0.00013 |
Grade A, and why
dashboard 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
Read skills/DASHBOARD.md and execute the skill as specified. Serialize the graph into the documented PHG_DATA schema, inject it into templates/dashboard_shell.html without altering the shell's markup, styles, or code, and save the result to the location specified in its saves_to: field. The output must remain fully self-contained with zero network requests, and every value must trace to a source file.
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 · 7 lines · 42 tokens per session scan A 1c4713c81e42
dashboard is a skill published in the GitHub repository gtr36/personal-health-graph (20 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 134 once invoked, about $0.0002 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.
dashboard compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dashboardgtr36/personal-health-graph | Skill | 20 | 2mo ago | MIT | A | 42 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |