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 Uxcel-Lab/product-skills --skill okrs-kpisgit clone --depth 1 https://github.com/Uxcel-Lab/product-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/uxcel-lab/product-skills/okrs-kpis)<a href="https://agentmods.dev/skills/uxcel-lab/product-skills/okrs-kpis"><img src="https://agentmods.dev/badge/skills/uxcel-lab/product-skills/okrs-kpis/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/uxcel-lab/product-skills/okrs-kpis"><img src="https://agentmods.dev/badge/skills/uxcel-lab/product-skills/okrs-kpis.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 | $0.00101 | $0.02394 |
| Opus 5 | $0.00051 | $0.01197 |
| Sonnet 5 | $0.00020 | $0.00479 |
| Haiku 4.5 | $0.00010 | $0.00239 |
Grade A, and why
pm-okrs-kpis 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 11d 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OKRs & KPIs Skill
How this skill behaves (read first)
Claude's default happily generates a tidy OKR list for any request — which is exactly the failure: objectives invented with no strategy behind them, five objectives per team, key results that are activities in disguise ("conduct 20 interviews"), and a "North Star" picked in one sentence. Goals written this way actively misdirect a team for a quarter.
So this skill is generative but gated:
- Establish context — strategy, level, cycle, and what data exists. No strategy → say so and work at the right level instead of inventing one.
- Apply the always-true core — outcome KRs with baseline/target/timeframe, one focus objective, leading+lagging mix.
- Surface the context-dependent decisions — framework weight, North Star, cadence, cascading model — with trade-offs; let the user choose.
Then it hands the result to pm-okr-metric-validity-audit for validation.
Step 0 — Establish context before writing any goal
Ask if not known; state the assumption if proceeding without an answer:
- Is there a strategy to derive from? Strategy is the "why/what"; OKRs are the "how much/by when." Without strategic choices, OKRs become disconnected targets that move numbers without advancing position. If none exists, flag it — offer to define the strategic priority first rather than generating goals from nothing.
- Level — company, product, or team? Team OKRs should be each team's chosen contribution to product objectives, not product KRs mechanically divided up.
- Team size & maturity — a small squad may be better served by the simpler levers / rate-limiting-step framing (which metrics move the North Star; which is the bottleneck) than by full OKR ceremony. A squad often needs only 1–2 KRs per objective.
- Cycle — quarterly is the default rhythm; annual strategy breaks into sequenced quarterly checkpoints (not every priority appears every quarter).
- What data exists — a KR without a collectible number is theater. If the right metric doesn't exist yet, a legitimate KR is "research and define the activation metric" — better than chasing a target you don't understand.
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.
- 11d ago First seen · 121 lines · 101 tokens per session scan A e6503cb45d2f
pm-okrs-kpis is a skill published in the GitHub repository Uxcel-Lab/product-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 101 tokens to every session and 2,394 once invoked, about $0.0005 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 2026-08-31.
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