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 strategic-commitmentgit 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/strategic-commitment)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/strategic-commitment"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/strategic-commitment/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/strategic-commitment"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/strategic-commitment.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 | $0.00126 | $0.02011 |
| Opus 5 | $0.00063 | $0.01006 |
| Sonnet 5 | $0.00025 | $0.00402 |
| Haiku 4.5 | $0.00013 | $0.00201 |
Grade A, and why
strategic-commitment 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic Commitment
Overview
Strategic commitment converts "I might do X" into "I will do X" — not through rhetoric but by changing payoff structure so follow-through is the rational move. Schelling (1960, Nobel 2005): keeping options open undermines you when opponents predict you'll rationally back down. A commitment device removes that prediction by making retreat more expensive than execution.
Composes with: prisoners-dilemma (diagnose defection traps) · zero-sum-game (confirm game structure) · batna-zopa (BATNA sets outside option; commitment governs how credibly you communicate it).
When to Use
Apply when:
- Designing a competitive deterrence posture — making a potential entrant believe you will fight, not accommodate
- Making a promise or pledge credible to a counterparty who doubts your follow-through
- In negotiation where the other side exploits your visible flexibility
- Signaling strategic intent to multiple audiences with a single costly action
- Evaluating whether a competitor's stated threat is real or theatrical
- Deciding whether to make a concentrated AI-era bet credible (capex, an all-in product pivot, a "we're AI-first" claim) — or auditing whether a rival's AI commitment is money-in-the-ground or a press release
When NOT to use: commitment is unobservable to the target audience; environment changes so fast that lock-in outweighs credibility gain; cost of following through exceeds the value being protected; genuine one-shot anonymous game with no reputational audience.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a concrete case → run The Process directly.
- Coach mode: user is unfamiliar → 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: commitment makes threats credible by locking yourself in so follow-through is the rational choice.
- Check fit: does the other side disbelieve your threat? If problem is capability (can't execute), not credibility, stop here.
- Elicit their case: specific threat, audience, why they doubt follow-through.
[WAIT — do not advance until user responds]
- Run CAVE audit. Ask: "What happens if you don't follow through? What is the current cost of retreat?"
[WAIT — do not advance until user responds]
- Name which device fits and why it changes payoffs — not just rhetoric.
[WAIT — do not advance until user responds]
What ships with it
3 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 · 125 lines · 126 tokens per session scan A cdd716a8ea51
strategic-commitment is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 11d ago), licensed MIT. It adds 126 tokens to every session and 2,011 once invoked, about $0.0006 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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