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 skills add mphinance/alpha-skills --skill team-okrsgit clone --depth 1 https://github.com/mphinance/alpha-skillsWrote 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/mphinance/alpha-skills/team-okrs)<a href="https://agentmods.dev/skills/mphinance/alpha-skills/team-okrs"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/team-okrs/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/mphinance/alpha-skills/team-okrs"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/team-okrs.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 | $0.00062 | $0.00345 |
| Opus 5.5 | $0.00025 | $0.00138 |
| Sonnet 5.5 | $0.00012 | $0.00069 |
| Haiku 4.5 | $0.00006 | $0.00034 |
Grade A, and why
team-okrs 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 1mo 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 team-okrs — 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
Team OKRs Skill
Produce a single-screen OKR tracker.
Workflow
- Read DESIGN.md.
- Layout:
- Quarter banner: Q4 FY25, dates, overall progress chip.
- Three objective cards. Each has:
- Objective title + owner avatar + status pill (On track / At risk / Off track)
- 3 key results, each a row with metric / current → target / progress bar
- Right sidebar: at-a-glance KPIs, top movers, blockers callout.
- Clear progress visualisation, calm palette, one accent.
Output contract
<artifact identifier="okr-q4" type="text/html" title="OKRs Q4">
<!doctype html>...</artifact>
What ships with it
2 files 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.
- 1mo ago First seen · 48 lines · 62 tokens per session scan A 6734db5dcac5
team-okrs is a skill published in the GitHub repository mphinance/alpha-skills (28 stars, last pushed 10d ago), licensed MIT. It adds 62 tokens to every session and 345 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 team-okrs, differing in 0 lines, and is treated as a copy.
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