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 fzfclee/consulting-skills --skill force-field-analysisgit clone --depth 1 https://github.com/fzfclee/consulting-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/fzfclee/consulting-skills/force-field-analysis)<a href="https://agentmods.dev/skills/fzfclee/consulting-skills/force-field-analysis"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/force-field-analysis/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/fzfclee/consulting-skills/force-field-analysis"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/force-field-analysis.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 | $0.00050 | $0.00729 |
| Opus 5 | $0.00025 | $0.00365 |
| Sonnet 5 | $0.00010 | $0.00146 |
| Haiku 4.5 | $0.00005 | $0.00073 |
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 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Force Field Analysis
Use this skill to run Force Field Analysis as a practical consulting method, not as a generic framework explanation.
Method Notes
- List driving and restraining forces separately.
- Reducing a restraining force is often better than adding pressure.
Required Inputs
Collect or infer these inputs before execution:
- desired change
- supporting forces
- resisting forces
- stakeholders
- constraints
If an input is missing, do not block automatically. Mark it as missing, state the assumption used, and add a validation action.
When Not To Use
Do not use when the target change and relevant actors are unclear. Avoid generic pros-and-cons lists: each driving or restraining force needs evidence, relative strength, and a practical response.
Adjacent Methods
change-impact-analysis: assess affected groups, readiness, and adoption support.stakeholder-power-map: diagnose named sponsors, blockers, incentives, and vetoes.
Step-by-Step Execution
| Step | Required input | How to execute | Output |
|---|---|---|---|
| Define change | Desired change, current state, target state. | State the behavior or decision that must shift. | Change statement. |
| List driving forces | Sponsors, incentives, pressures, benefits. | Identify forces pushing toward the change. | Driving-force list. |
| List restraining forces | Concerns, incentives, risks, capacity, politics. | Identify forces resisting the change. | Restraining-force list. |
| Score forces | Force lists and evidence. | Rate strength, addressability, owner, and evidence quality. | Force field map. |
| Choose levers | Force field map. | Decide which restraining forces to reduce and which driving forces to strengthen. | Change lever plan. |
Output Template
### 1. Change Objective
Desired change:
Current state:
Decision owner:
Time horizon:
### 2. Forces
| Force | Driver / restraint | Strength | Evidence | Controllability |
|---|---|---|---|---|
| | | | | |
### 3. Net Diagnosis
Dominant drivers:
Dominant restraints:
Fragile assumptions:
### 4. Intervention Plan
| Force to change | Move | Owner | Timing | Signal / side effect |
|---|---|---|---|---|
| | | | | |
### Evidence And Next Decision
- Confirmed facts:
- Assumptions:
- Missing evidence:
- Next action, owner, and timing:
- Expected signal and decision threshold:
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 · 87 lines · 50 tokens per session scan A dc76409c4096
force-field-analysis is a skill published in the GitHub repository fzfclee/consulting-skills (4 stars, last pushed 21d ago), licensed Apache-2.0. It adds 50 tokens to every session and 729 once invoked, about $0.0003 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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