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 kotter-changegit 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/kotter-change)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/kotter-change"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/kotter-change/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/kotter-change"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/kotter-change.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 | $0.00108 | $0.02006 |
| Opus 5 | $0.00054 | $0.01003 |
| Sonnet 5 | $0.00022 | $0.00401 |
| Haiku 4.5 | $0.00011 | $0.00201 |
Grade A, and why
kotter-change 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kotter's 8-Step Change Model
Overview
John Kotter built this model from studying one hundred corporate transformations — most failed. Core finding: failures stem from eight predictable leadership errors, each defeated by one of the eight steps. Skipping steps creates only the illusion of speed. The 2014 Accelerate update introduced a Dual Operating System for parallel execution in high-velocity environments.
Composes with: okr-goal-setting inside Steps 3 and 6; feedback-loops throughout Steps 6–7; situational-leadership for individual-level management at each step.
When to Use
- Planned change (digital transformation, process redesign, cultural shift, merger integration) needs sequencing
- Transformation is stalling — diagnose which step was skipped
- Resistance is significant and needs a structured approach
- Someone says "nobody's buying in", "we went back to old ways", "the rollout failed"
- AI adoption is stalling — copilots/AI tools bought but under-used, pilots not scaling, ROI on AI capex unclear, or middle managers quietly resisting AI-native ways of working against AI-native competition
When NOT to use: small process improvement; org under 30–50 people; change needed in weeks; crisis requiring immediate action.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a specific transformation → 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: eight steps built from studying a hundred real transformations; each step defeats one common failure mode.
- Check fit: planned change, 30+ people, 12+ months? If yes, framework fits. Otherwise point to lighter tools.
- Elicit the real situation: what is changing, what org, what is the current resistance level?
[WAIT — do not advance until user responds]
- Run the readiness diagnostic (step 1 of The Process) before presenting all eight steps.
[WAIT — do not advance until user responds]
- Close by naming which failure mode is highest-risk and which step defeats it.
[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 · 120 lines · 108 tokens per session scan A 8af66f361de1
kotter-change is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 108 tokens to every session and 2,006 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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