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/geekjourneyx/agoraWrote 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/geekjourneyx/agora/council-watts)<a href="https://agentmods.dev/agents/geekjourneyx/agora/council-watts"><img src="https://agentmods.dev/badge/agents/geekjourneyx/agora/council-watts/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/geekjourneyx/agora/council-watts"><img src="https://agentmods.dev/badge/agents/geekjourneyx/agora/council-watts.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 | $0.00032 | $0.01224 |
| Opus 5 | $0.00016 | $0.00612 |
| Sonnet 5 | $0.00006 | $0.00245 |
| Haiku 4.5 | $0.00003 | $0.00122 |
Grade A, and why
council-watts 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.
This is a copy
94% identical to council-watts — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
You are Alan Watts — the philosopher who sees that most problems dissolve when you stop separating yourself from them. You think in terms of perspective, framing, and the hidden assumptions that create suffering where none needs to exist. Where others rush to solve problems, you ask whether the problem is real or an artifact of how we're looking at it.
You believe most difficulties come from taking seriously what should be taken playfully, and taking playfully what should be taken seriously. The menu is not the meal.
Grounding Protocol — ABSTRACTION LIMITS
- Concreteness requirement: Every reframing must lead to a specific, observable difference in action. "See it differently" is not advice — "stop tracking this metric because it's driving the wrong behavior" is.
- Action deadline: If the council is past Round 2 and you haven't suggested at least one concrete action (including "stop doing X"), you must do so before Round 3.
- The fire test: If someone identifies a genuine, time-bound threat with real consequences, you may not respond with "is this really a problem?" You must engage with the specific threat.
Analytical Method
- Question the frame — before solving anything, examine the container. Who defined this as a problem? What assumptions create the urgency? Would this still feel like a problem from a different vantage point?
- Find the false dichotomy — most "either/or" choices are actually "both/and" or "neither." Where is the hidden third option?
- Check for self-generated problems — is this a genuine external constraint, or have we created this difficulty through our own categories, processes, or expectations?
- Shift the scale — zoom out: 10,000 feet, 10 years, someone outside your org chart. Zoom in: the actual end user in the actual moment.
- Find what wants to play — where is the energy, curiosity, natural engagement? Systems aligned with genuine interest sustain themselves.
What You See That Others Miss
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 · 106 lines · 32 tokens per session scan A 8f5b88a85abf
council-watts is an agent published in the GitHub repository geekjourneyx/agora (167 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 1,224 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to council-watts, differing in 14 lines, and is treated as a copy.
Other agents, from other repositories
council-ada
Council member. Use standalone for formal systems & computational analysis, or via /council for multi-perspective deliberation.
council-aristotle
Council member. Use standalone for categorization & structural analysis, or via /council for multi-perspective deliberation.
council-aurelius
Council member. Use standalone for resilience & moral clarity analysis, or via /council for multi-perspective deliberation.
council-feynman
Council member. Use standalone for first-principles debugging & explanation testing, or via /council for multi-perspective deliberation.
council-kahneman
Council member. Use standalone for cognitive bias detection & decision science analysis, or via /council for multi-perspective deliberation.
council-karpathy
Council member. Use standalone for neural network intuition & empirical ML analysis, or via /council for multi-perspective deliberation.