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 intrinsic-drivegit 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/intrinsic-drive)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/intrinsic-drive"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/intrinsic-drive/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/intrinsic-drive"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/intrinsic-drive.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 | $0.00107 | $0.01838 |
| Opus 5.5 | $0.00043 | $0.00735 |
| Sonnet 5.5 | $0.00021 | $0.00368 |
| Haiku 4.5 | $0.00011 | $0.00184 |
Grade A, and why
intrinsic-drive 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 11d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intrinsic Drive
Overview
Intrinsic motivation is a portfolio of distinct sources — not a binary switch. Drive collapse is almost always cluster-specific depletion, not total failure. Four clusters: Cluster 1 Life Force (passion, grit, dream); Cluster 2 Goals (desire to succeed, self-proving) — most fragile, deflates when a goal is achieved or lost; Cluster 3 Cognition & Engagement (curiosity, embracing challenge); Cluster 4 Beyond Self (mission, excellent people, continuous learning) — most durable.
Cross-skill: Use WITH [deep-work] — drive is the fuel, deep work the engine. Use BEFORE [okr-goal-setting] — low-drive goals tend to be extrinsically framed. Complements [momentum-and-form].
When to Use
Use when: persistent going-through-the-motions; sudden unexplained performance decline; post-achievement flatness; early burnout signals; "how do I keep going when feedback is absent?" When NOT to use: clinical depression/burnout; external constraints block execution; fundamental domain mismatch; immediate performance recovery needed (30–90 day minimum).
Coaching Novices (Adaptive Front Door)
- Engine mode: concrete case → run The Process directly.
- Coach mode: unfamiliar user → guide step by step. Respond one step at a time. Each [WAIT] is a hard stop.
- Frame: "Motivation is a portfolio, not a switch — you've depleted one or two clusters, not lost everything."
- Check fit: "What drove you at your best — goal, curiosity, people, or mission? What's absent now?"
- Elicit their real case — ask for a specific high-drive period and what fueled it. > [WAIT — do not advance until user responds]
- Run The Process one step at a time with their input. > [WAIT — do not advance until user responds]
- Close: name the insight uncovered — "a portfolio without single points of failure." > [WAIT — do not advance until user responds]
The Process
Gate: If every cluster rates ≤2 with no identifiable activation source, apply the stop-rule before designing experiments.
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.
- 11d ago Changed f910da0f5bf4
- 2mo ago First seen · 119 lines · 107 tokens per session scan A 22551fc39d3b
intrinsic-drive is a skill published in the GitHub repository deciqAI/knowledge-skills (13 stars, last pushed 12d ago), licensed MIT. It adds 107 tokens to every session and 1,838 once invoked, about $0.0004 per session on Opus 5.5. 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.
intrinsic-drive compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| intrinsic-drivedeciqAI/knowledge-skills | Skill | 13 | 12d ago | MIT | A | 107 | Claude Code, Codex |
| ai-adoption-leadalebgl77/claude-inc | Skill | 22 | 15d ago | MIT | A | 72 | Claude Code |
| voice-builderalebgl77/claude-inc | Skill | 22 | 15d ago | MIT | A | 110 | Claude Code |
| founder-coachalirezarezvani/claude-skills | Skill | 29k | yesterday | MIT | A | 41 | Claude Code |
| cs-onboardalirezarezvani/claude-skills | Skill | 29k | yesterday | MIT | A | 47 | Claude Code |
| model-prompt-packmohitagw15856/pm-claude-skills | Skill | 1.5k | yesterday | MIT | A | 104 | Claude Code |
| read-bookcoreyhaines31/makerskills | Skill | 890 | yesterday | MIT | A | 192 | Claude Code |