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 event4u-app/agent-config --skill okr-tree-modelinggit clone --depth 1 https://github.com/event4u-app/agent-configWrote 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/event4u-app/agent-config/okr-tree-modeling)<a href="https://agentmods.dev/skills/event4u-app/agent-config/okr-tree-modeling"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/okr-tree-modeling/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/event4u-app/agent-config/okr-tree-modeling"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/okr-tree-modeling.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 | $0.00038 | $0.01247 |
| Opus 5 | $0.00019 | $0.00624 |
| Sonnet 5 | $0.00008 | $0.00249 |
| Haiku 4.5 | $0.00004 | $0.00125 |
Grade A, and why
okr-tree-modeling 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 8d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
okr-tree-modeling
When to use
- A leadership team wrote a quarterly objective and needs three measurable KRs that actually move it.
- A draft OKR tree needs review for orphan KRs, vanity metrics, or KRs that ladder to two parents.
- A team-level OKR set needs to be checked against the company objective it claims to serve.
Do NOT use for ranking competing initiatives within one OKR — that's prioritization, not decomposition (route elsewhere — see Related Skills).
Procedure
Step 0: Inspect
- Identify the cognition cluster. OKR-as-strategy lives near the CEO/COO; OKR-as-PM-tool lives near the head of product. The decomposition mechanic is the same; the ladder-up target differs.
- Confirm timeframe (quarter / half / year) — KR cadence depends on it.
Step 1: Lock the parent objective
- Restate the parent in one sentence with a verb of change (grow, reduce, ship, win) and an outcome — not an output.
- Bad: "Improve onboarding." Good: "Reduce time-to-first-value for new accounts to under 7 days."
- If the parent has no verb of change or no outcome, the tree is built on sand. Stop and rewrite the parent.
Step 2: Decompose into 3 KRs
- Each KR must satisfy four tests: (a) measurable end-state, (b) the team owns the lever, (c) achievable iff the parent is achieved, (d) failing it should be visibly bad.
- Three is the floor and the ceiling. One KR makes the objective brittle; five dilutes ownership.
- Anti-pattern: "ship X feature" as a KR. Shipping is an output. The KR is what changes when the feature lands.
Step 3: Cascade to team-level
- For each company KR, define 2–3 team-level KRs that, taken together, achieve the parent KR — not duplicate it.
- Anti-pattern: copy-paste the parent KR with a smaller number ("60% of company KR is 30% for our team"). Real cascades change shape — input metrics for some teams, leading indicators for others.
- Mark each team KR as trailing (lagging outcome — revenue, retention) or leading (input the team controls — activation rate, response time). A tree that is all-trailing is unactionable.
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.
- 8d ago First seen · 102 lines · 38 tokens per session scan A 657014b48ced
okr-tree-modeling is a skill published in the GitHub repository event4u-app/agent-config (10 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 1,247 once invoked, about $0.0002 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 2026-09-04.
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