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 daddia/claude-for-strategy --skill write-key-resultsgit clone --depth 1 https://github.com/daddia/claude-for-strategyWrote 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/daddia/claude-for-strategy/write-key-results)<a href="https://agentmods.dev/skills/daddia/claude-for-strategy/write-key-results"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/write-key-results/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/daddia/claude-for-strategy/write-key-results"><img src="https://agentmods.dev/badge/skills/daddia/claude-for-strategy/write-key-results.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 | $0.00060 | $0.01004 |
| Opus 5 | $0.00030 | $0.00502 |
| Sonnet 5 | $0.00012 | $0.00201 |
| Haiku 4.5 | $0.00006 | $0.00100 |
Grade A, and why
write-key-results 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Key Results
When to use
When KRs need the outcome test — measurable change in an indicator, not confirmation a deliverable shipped.
What this skill does not do
- Does not draft objectives — route to
/okr:draft-objectives. - Does not set targets — route to
/okr:set-targetsafter baselines known. - Does not instrument metrics — route unknown baselines to
/okr:instrument-metrics.
Preconditions
| Input | If missing |
|---|---|
| Objective the KR set serves | Ask — every check depends on it |
| Candidate KRs (or request to draft) | Ask user to provide or draft from objective |
Provisional mode
Without baseline data: flag Baseline status: unknown per KR; do not imply targets are ready.
Trust spine
- Confidence bands (
structured-aggregation):- High: Outcome-shaped KRs, vanity risks named, set collectively sufficient.
- Medium: Some output-shaped flags with reframes.
- Low: Majority deliverable-shaped — set not ready for targets.
- Failure modes:
- Strategic advice vs. support: Verdicts diagnostic; strategist owns final KRs.
- Client confidentiality: KRs may be pre-release — CONFIDENTIAL header.
- Accountability gap: Deliverables relocated to tasks, not silently kept as KRs.
- Analytical Rigor: Set-level sufficiency check — hitting all KRs proves objective?
- Incentive Gaming: Vanity-metric and sandbagging-by-proxy checks — easy-to-hit numbers that don't prove objective.
- Escalation triggers: Set insufficient even if every KR passes individually — name gap.
Workflow
- Get the objective — explicit, not implied.
- Outcome test per KR — deliverable language ("ship," "launch") → reframe to outcome.
- Vanity-metric check — would unrelated improvement fool readers?
- Baseline check — unknown → flag for
instrument-metrics. - Set sufficiency — would hitting all KRs prove the objective?
- Completeness check before output.
Output format
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 · 110 lines · 60 tokens per session scan A d6b9e6091e59
write-key-results is a skill published in the GitHub repository daddia/claude-for-strategy (2 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 1,004 once invoked, about $0.0003 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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