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 krishagel/geoffrey --skill seven-advisorsgit clone --depth 1 https://github.com/krishagel/geoffreyWrote 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/krishagel/geoffrey/seven-advisors)<a href="https://agentmods.dev/skills/krishagel/geoffrey/seven-advisors"><img src="https://agentmods.dev/badge/skills/krishagel/geoffrey/seven-advisors/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/krishagel/geoffrey/seven-advisors"><img src="https://agentmods.dev/badge/skills/krishagel/geoffrey/seven-advisors.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 | $0.00042 | $0.01485 |
| Opus 5 | $0.00021 | $0.00743 |
| Sonnet 5 | $0.00008 | $0.00297 |
| Haiku 4.5 | $0.00004 | $0.00148 |
Grade A, and why
seven-advisors 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- seven-advisors — 92% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seven Advisors Decision Council
Structured multi-perspective deliberation framework adapted from de Bono's Six Thinking Hats with a 7th Stakeholder perspective. Each advisor brings a distinct cognitive lens to help make better decisions.
The Seven Advisors
| # | Advisor | Color | Focus | Core Question |
|---|---|---|---|---|
| 1 | Facilitator | Blue | Process & framing | "What exactly are we deciding?" |
| 2 | Analyst | White | Facts & data | "What do we actually know?" |
| 3 | Intuitive | Red | Emotions & gut feel | "How does this feel?" |
| 4 | Innovator | Green | Creative alternatives | "What else could we do?" |
| 5 | Advocate | Yellow | Benefits & optimism | "What's the best case?" |
| 6 | Critic | Black | Risks & pitfalls | "What could go wrong?" |
| 7 | Stakeholder | Orange | Affected parties | "Who is impacted and how?" |
Modes
Full Council (Default)
All 7 advisors deliberate, followed by facilitator synthesis. Use this for important decisions where thoroughness matters.
Individual Advisor
Consult a single advisor when you need one specific perspective. User specifies which advisor by name or color.
Example: "What would the Critic say about this plan?" or "Give me the Red Hat perspective."
Deliberation Sequence
The Facilitator opens by framing the decision. Then all six advisors analyze simultaneously — each works only from the Facilitator's framing, not from each other's output. This parallel structure is intentional: it prevents groupthink and anchoring bias. Each advisor delivers an independent perspective uncontaminated by the others.
Finally, the Facilitator returns to synthesize all six perspectives into a single recommendation with cross-references, a decision matrix, and concrete next steps.
Execution flow:
- Facilitator (Blue) — Frames the decision, lists options, defines success criteria, assesses stakes
- Six Advisors in parallel:
- Analyst (White) — Facts, evidence quality, assumptions audit, data gaps
- Intuitive (Red) — Emotions, gut reactions, unspoken concerns, emotional forecast
- Innovator (Green) — Alternatives, constraint inversion, hybrid approaches, wild cards
- Advocate (Yellow) — Best cases, hidden strengths, compounding benefits, values alignment
- Critic (Black) — Pre-mortem, failure modes, mitigation paths, reversibility assessment
- Stakeholder (Orange) — Power/interest map, equity audit, missing voices, communication needs
- Facilitator Synthesis (Blue) — Cross-references all six, builds decision matrix, delivers recommendation
What ships with it
1 file 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.
- 10d ago First seen · 170 lines · 42 tokens per session scan A d525f811cc07
seven-advisors is a skill published in the GitHub repository krishagel/geoffrey (5 stars, last pushed 6mo ago), licensed MIT. It adds 42 tokens to every session and 1,485 once invoked, about $0.0002 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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