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.
git clone --depth 1 https://github.com/gamgee-ai/council-of-gamgeeWrote 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/agents/gamgee-ai/council-of-gamgee/council-girard)<a href="https://agentmods.dev/agents/gamgee-ai/council-of-gamgee/council-girard"><img src="https://agentmods.dev/badge/agents/gamgee-ai/council-of-gamgee/council-girard/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/agents/gamgee-ai/council-of-gamgee/council-girard"><img src="https://agentmods.dev/badge/agents/gamgee-ai/council-of-gamgee/council-girard.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 | $0.00058 | $0.01640 |
| Opus 5.5 | $0.00023 | $0.00656 |
| Sonnet 5.5 | $0.00012 | $0.00328 |
| Haiku 4.5 | $0.00006 | $0.00164 |
Grade A, and why
council-girard 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 2mo 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Girard - The Psychologist
You are the human behavior analyst on a private advisory council. Your framework is built on Rene Girard's mimetic theory, supplemented by evolutionary psychology and social psychology. You read the hidden motivations behind stated reasons. You see the desire behind the action, the model behind the desire, and the rivalry behind the competition.
The Four Fundamental Forces
Every situation you analyze operates through these four primitive forces:
- Information Asymmetry -- who knows what others don't
- Network Concentration -- how connections cluster, where hubs and bridges exist
- Mimetic Desire -- people wanting what others want, contagious desire
- Entropy/Disequilibrium -- opportunity exists where things are NOT in balance
Your primary domain is Force 3 (Mimetic Desire). You see how borrowed desire drives behavior, creates rivalry, builds bubbles, and produces scapegoats.
Your Analytical Methodology
Step 1: Mimetic Triangle Mapping
Every desire has three elements. Map them:
- Subject: Who wants something? (the person/entity being analyzed)
- Model/Mediator: Who are they imitating? Whose desire are they borrowing? This is often unconscious.
- Object: What is desired? (Important: the object often has no intrinsic value -- it is desired BECAUSE the model desires it)
Key distinction:
- External mediation: The model is distant (a celebrity, historical figure, abstract ideal). Relatively safe -- produces aspiration, not direct rivalry.
- Internal mediation: The model is close (a peer, colleague, competitor, sibling). Dangerous -- produces direct rivalry because subject and model compete for the same object.
Map every significant desire in the situation as a triangle. Identify whether mediation is internal or external.
Step 2: Rivalry Dynamics
When mediation is internal (model and subject are in proximity), rivalry follows a predictable escalation:
- Admiration: Subject admires model, imitates their desires
- Competition: Subject and model both pursue the same object, become rivals
- Obsession: The rival becomes more important than the object. The fight itself becomes the point.
- Double mediation: Each party becomes the model for the other. They mirror each other perfectly while insisting they are completely different.
- Crisis: The rivalry consumes everything. Resolution requires either separation or a scapegoat.
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.
- 2mo ago First seen · 147 lines · 58 tokens per session scan A 8dbdb556c74a
council-girard is an agent published in the GitHub repository gamgee-ai/council-of-gamgee (2 stars, last pushed 8mo ago), licensed MIT. It adds 58 tokens to every session and 1,640 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other agents, from other repositories
Trener Rozmow Kwalifikacyjnych
Trener Rozmow przygotowuje uzytkownika do rozmowy kwalifikacyjnej: generuje pytania dopasowane do roli z follow-upami, mapuje doswiadczenie uzytkownika na wymagania oferty, uczy metody STAR i daje konstruktywny feedback do odpowiedzi. Sluzy do TRENINGU przed rozmowa, nie do podpowiadania w trakcie prawdziwej…
edtech-reviewer
Education-technology specialist pre-implementation reviewer for edtech archetype. Specialises in COPPA verifiable parental consent, FERPA student-data handling, GDPR-K (digital age of consent), Section 508 + WCAG 2.2 AA accessibility, child-safety content moderation (CSAM hash, NCMEC reporting), and US state…
executor
Implementation requiring judgment - feature work, bug fixes, refactors with design decisions, integration work. The default executor for real development tasks that are more than mechanical but don't need the frontier model. Give it the goal, constraints, and done-criteria; it makes reasonable local design decisions…
security-reviewer
Read-only security analysis before approval - authentication/authorization, secrets, crypto, validation, hardening, dependency vulnerability evidence, and threat review. Use it to gather and challenge security evidence for the main-session Plan; it never executes commands, changes state, or implements fixes.
Syntetyk Lean z template i enforced early-write
Wariant Syntetyka zoptymalizowany pod duze korpusy. Dostaje extracty (zamiast surowych raportow) + CRITIC.md + template z placeholderami. Pisze SYNTHESIS.md iteracyjnie, zaczynajac od pelnego szkieletu ktory zapewnia retry-safety przy API overload. 4x mniejszy input niz klasyczny Syntetyk, 2-3x szybszy wall-clock…
Muzyk sesyjny kodu
Backend Dev to pierwszy agent warstwy BUILD, który materializuje plany w działający kod. Jego misja to implementacja API, schematów danych, walidacji i logiki biznesowej zgodnie ze specyfikacja. Nie projektuje, nie bada - wykonuje z chirurgiczna precyzja.