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 shi-momentumgit 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/shi-momentum)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/shi-momentum"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/shi-momentum/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/shi-momentum"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/shi-momentum.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 | $0.00114 | $0.01814 |
| Opus 5 | $0.00057 | $0.00907 |
| Sonnet 5 | $0.00023 | $0.00363 |
| Haiku 4.5 | $0.00011 | $0.00181 |
Grade A, and why
shi-momentum 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
势 — Strategic Momentum Model
Overview
势 (shì) is the propensity of a situation to evolve in a direction — a wave you read and ride, not power you exert. The five phases (蓄势→谋势→借势→得势→造势) are sequential; skipping one creates fragile momentum that reverses. The universal failure mode: mistaking activity for momentum, or attempting 造势 before achieving 得势.
Skill composition: Use AFTER [second-order-thinking] to trace downstream consequences of phase transitions. Use WITH [s-curve-technology-adoption] to confirm the macro wave exists. Use BEFORE [okr-goal-setting] to set stage-appropriate goals.
When to Use
- Entering a new market or venture; efforts feel scattered; founder asks "when do we scale / raise / launch?"
- Post-pivot reassessment; pre-investment phase mapping
When NOT to use: optimizing an already well-functioning 造势 phase; purely operational decisions; time horizon under 90 days; organization has no control over macro environment.
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.
- One-line what-it-is: "势 is five sequential momentum stages — storing, planning, leveraging, obtaining, amplifying — each with a defining activity and exit condition."
- Check fit: "Are you wondering why momentum isn't building, or unsure whether you're ready to scale?"
- Elicit real case: "Tell me about the venture or initiative. What phase do you think you're in right now, and why?"
[WAIT — do not advance until user responds]
- Run The Process one step at a time starting with Phase 1 diagnosis only.
[WAIT — do not advance until user responds]
- Close: "You now have a Momentum Phase Map — what to do THIS month, what to stop, and which macro wave you'll ride."
[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 · 122 lines · 114 tokens per session scan A f6c641e0f853
shi-momentum is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 114 tokens to every session and 1,814 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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