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 power-interest-gridgit 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/power-interest-grid)<a href="https://agentmods.dev/skills/fzfclee/consulting-skills/power-interest-grid"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/power-interest-grid/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/power-interest-grid"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/power-interest-grid.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 | $0.00054 | $0.00788 |
| Opus 5 | $0.00027 | $0.00394 |
| Sonnet 5 | $0.00011 | $0.00158 |
| Haiku 4.5 | $0.00005 | $0.00079 |
Grade A, and why
power-interest-grid 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power Interest Grid
Use this skill to run Power Interest Grid as a practical consulting method, not as a generic framework explanation.
Method Notes
- Use four cells: manage closely, keep satisfied, keep informed, monitor.
- Power means ability to change the outcome; interest means concern about the outcome.
Required Inputs
Collect or infer these inputs before execution:
- stakeholder list
- decision context
- power evidence
- interest evidence
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 informal influence, stakeholder stance, or relationship networks require a more detailed map. The grid is a coarse engagement triage, not proof of motives or support.
Adjacent Methods
stakeholder-power-map: add stance, incentives, confidence, informal influence, and next asks.raci-matrix: clarify execution responsibility after stakeholder strategy is set.
Step-by-Step Execution
| Step | Required input | How to execute | Output |
|---|---|---|---|
| Define the change or decision | Decision/change, deadline, affected groups. | State what outcome the grid is meant to influence. | Grid scope. |
| Identify stakeholders | Named people, teams, customers, regulators, partners. | List actors and remove duplicates or irrelevant observers. | Stakeholder list. |
| Score power and interest | Authority, influence, dependency, impact, concern level. | Place each actor on high/low power and high/low interest axes. | 2x2 power-interest grid. |
| Choose engagement strategy | Grid placement and relationship constraints. | Assign manage closely, keep satisfied, keep informed, or monitor. | Engagement category per actor. |
| Define communication actions | Category, message need, channel, owner, cadence. | Specify message, sender, timing, and feedback signal. | Communication and engagement plan. |
Output Template
### 1. Decision And Stakeholders
Decision:
Decision owner:
Deadline:
Stakeholders:
### 2. Grid
| Stakeholder | Power | Interest | Evidence / confidence | Quadrant |
|---|---|---|---|---|
| | | | | |
### 3. Engagement Strategy
| Stakeholder | Objective | Message / ask | Channel | Owner |
|---|---|---|---|---|
| | | | | |
### 4. Movement Signals
| Stakeholder | Expected signal | Watch-out | Escalation |
|---|---|---|---|
| | | | |
### 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.
- 11d ago First seen · 86 lines · 54 tokens per session scan A a768d4387afe
power-interest-grid is a skill published in the GitHub repository fzfclee/consulting-skills (4 stars, last pushed 22d ago), licensed Apache-2.0. It adds 54 tokens to every session and 788 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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