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 agentmods add skills/tupe12334/instinct/force-field-analysisnpx skills add tupe12334/instinct --skill force-field-analysisgit clone --depth 1 https://github.com/tupe12334/instinctWrote 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/tupe12334/instinct/force-field-analysis)<a href="https://agentmods.dev/skills/tupe12334/instinct/force-field-analysis"><img src="https://agentmods.dev/badge/skills/tupe12334/instinct/force-field-analysis.svg" alt="Measured on agentmods" 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 | $0.00027 | $0.01844 |
| Opus 5 | $0.00014 | $0.00922 |
| Sonnet 5 | $0.00005 | $0.00369 |
| Haiku 4.5 | $0.00003 | $0.00184 |
Grade A, and why
force-field-analysis 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 4d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Force Field Analysis
Overview
Developed by Kurt Lewin, Force Field Analysis maps every significant force acting on a proposed change — forces pushing toward it (driving) and forces pushing against it (restraining). The goal is not to list them but to act on them: strengthen drivers, weaken restrainers, or both.
PROPOSED CHANGE
│
DRIVING FORCES │ RESTRAINING FORCES
(push toward change) │ (push against change)
│
Cost savings ──────────► │ ◄────── Staff retraining cost
Regulatory pressure ─────► │ ◄────── Loss of familiar workflow
Competitor pressure ──────►│ ◄────── Union resistance
Leadership mandate ───────►│ ◄────── Budget constraints
│
◄──── EQUILIBRIUM ────►
(change happens when driving
forces outweigh restraining ones)
Change occurs when the sum of driving forces exceeds the sum of restraining forces. The model reveals where to intervene — not just whether to proceed.
Core Concepts
Driving Forces
Pressures, motivations, or conditions that push toward the desired change. Sources include:
- External pressure (regulation, market, competition)
- Internal pull (leadership vision, cost reduction, quality goals)
- Opportunity forces (technology, growth, new capability)
Restraining Forces
Resistances that oppose or slow the change. Sources include:
- Resource constraints (budget, time, headcount)
- Cultural or behavioral inertia (habit, fear of loss)
- Structural blockers (existing contracts, legacy systems, org design)
- Stakeholder opposition (unions, customers, adjacent teams)
Force Strength
Each force has a relative strength — rate it on a consistent scale (e.g., 1–5). This prevents treating all forces as equal and reveals where small interventions yield the largest shift in equilibrium.
Equilibrium
The current stable state. Change fails when restraining forces reassert. Lewin's Change Model pairs with this: Unfreeze (weaken restrainers) → Change (act) → Refreeze (embed the new state).
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.
- 4d ago First seen · 127 lines · 27 tokens per session scan A 692fc04738cf
force-field-analysis is a skill published in the GitHub repository tupe12334/instinct (1 stars, last pushed 18d ago), licensed MIT. It adds 27 tokens to every session and 1,844 once invoked, about $0.0001 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 2026-08-31.
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