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 liqiongyu/lenny_skills_plus --skill setting-okrs-goalsgit clone --depth 1 https://github.com/liqiongyu/lenny_skills_plusWrote 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/liqiongyu/lenny_skills_plus/setting-okrs-goals)<a href="https://agentmods.dev/skills/liqiongyu/lenny_skills_plus/setting-okrs-goals"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/setting-okrs-goals/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/liqiongyu/lenny_skills_plus/setting-okrs-goals"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/setting-okrs-goals.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 | $0.00024 | $0.01976 |
| Opus 5 | $0.00012 | $0.00988 |
| Sonnet 5 | $0.00005 | $0.00395 |
| Haiku 4.5 | $0.00002 | $0.00198 |
Grade A, and why
setting-okrs-goals 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 9d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setting OKRs & Goals
Scope
Covers
- Turning strategy (or a North Star) into a small set of team/company OKRs
- Writing objectives that drive weekly execution (not just aspirational statements)
- Designing robust key results (prefer absolute counts; guard against gaming)
- Adding “default-on” systems/habits that make progress inevitable
- Defining review cadence + end-of-cycle grading to create a learning loop
When to use
- “Set our Q2 OKRs.”
- “Write objectives and key results for this team.”
- “We need quarterly goals that actually change behavior week-to-week.”
- “Our metrics are getting gamed / teams are optimizing the wrong thing.”
- “We need an OKR review + grading process.”
When NOT to use
- You don’t have an agreed strategy/North Star at all -> use
writing-north-star-metricsordefining-product-visionfirst - You need sprint planning or a delivery plan (tickets, estimates, timelines) -> use
managing-timelines - You’re using OKRs primarily for individual performance evaluation
- You only need a single experiment metric for one test
- You need an analytics/event tracking implementation plan from scratch
- You need to prioritize which initiatives to pursue before setting goals -> use
prioritizing-roadmap - You need a product vision or strategy document, not just quarterly goals -> use
defining-product-vision
Inputs
Minimum required
- Planning cycle + horizon (e.g., Q2; annual; 6 weeks) and the team(s) in scope
- Strategy anchor: company goal, North Star, or “why now” narrative for the cycle
- Current baseline for key metrics (or best-available proxy) + where the numbers come from
- Constraints: capacity, must-do commitments, dependencies, risk tolerance
- Stakeholders: decider(s), contributors, approvers, review cadence participants
Missing-info strategy
- Ask up to 5 questions from references/INTAKE.md.
- If still missing, proceed with clearly labeled assumptions and provide 2–3 OKR set options (conservative/base/ambitious).
What ships with it
13 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.
- eval/eval_config.json 419 B
- eval/SHOWCASE.md 4.6 KB
- eval/with_skill.md 24 KB
- eval/without_skill.md 11 KB
- README.md 1.8 KB
- references/CHECKLISTS.md 2.0 KB
- references/EXAMPLES.md 3.8 KB
- references/INTAKE.md 1.6 KB
- references/RUBRIC.md 3.5 KB
- references/SOURCE_SUMMARY.md 1.9 KB
- references/TEMPLATES.md 2.6 KB
- references/WORKFLOW.md 3.1 KB
- skillpack.json 378 B
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.
- 9d ago First seen · 138 lines · 24 tokens per session scan A 845856c292eb
setting-okrs-goals is a skill published in the GitHub repository liqiongyu/lenny_skills_plus (52 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 1,976 once invoked, about $0.0001 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 2026-09-03.
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