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 deciqAI/knowledge-skills --skill strategy-execution-leversgit clone --depth 1 https://github.com/deciqAI/knowledge-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/deciqai/knowledge-skills/strategy-execution-levers)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/strategy-execution-levers"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/strategy-execution-levers/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/deciqai/knowledge-skills/strategy-execution-levers"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/strategy-execution-levers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00105 | $0.02149 |
| Opus 5 | $0.00053 | $0.01074 |
| Sonnet 5 | $0.00021 | $0.00430 |
| Haiku 4.5 | $0.00011 | $0.00215 |
Grade A, and why
strategy-execution-levers 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy Execution Levers
Overview
Most organizations apply a single intervention — a town hall, a kickoff — then diagnose failure as a communication problem. The real issue: execution failure must be diagnosed across four sequential phases, each requiring a different lever. A gap at any phase propagates forward.
Cross-skill composition: Use AFTER [okr-goal-setting] (OKRs define direction; levers are the transmission mechanism). Use WITH [feedback-loops] (Lever 4 requires a designed feedback loop). Use BEFORE [resource-time-compression] (behavioral alignment must precede time compression).
When to Use
- Strategy communicated but team behavior unchanged
- Launch energy faded within 60-90 days — classic Lever 3 failure
- Post-mortem findings recur across cycles without resolution — classic Lever 4 failure
- Departments execute against different interpretations — Lever 1 not activated
- Individuals know right actions but default to old workflows under pressure — Lever 2 failure
When NOT to use: Strategy itself is wrong; org under 5 people; failure caused by resource constraints; only one phase is relevant (diagnose first, deploy only that lever).
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a concrete case → run The Process directly.
- Coach mode: user is unfamiliar or says "we just need better communication" → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- What it is: "Most execution failures happen because organizations fix the wrong phase. This framework identifies which of four phases is broken — and what to do specifically at that phase."
- Check fit: "Has your strategy been communicated? Do people understand it? Then what happened?" If yes and execution is still failing, this applies.
- Elicit their real case: "Walk me through the last strategy initiative that didn't take hold. When did it break down — immediately after launch, in the first quarter, or when momentum faded?"
[WAIT — do not advance until user responds]
- Run The Process one step at a time — identify the broken phase first; do not move to intervention design until phase diagnosis is complete.
[WAIT — do not advance until user responds]
- Close by naming the insight: "When you fix the right phase with the right lever, the other phases that were working get amplified."
[WAIT — do not advance until user responds]
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.
- 9d ago First seen · 123 lines · 105 tokens per session scan A e52645fe0f84
strategy-execution-levers is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 11d ago), licensed MIT. It adds 105 tokens to every session and 2,149 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 2026-09-03.
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