Borrowing it
Nothing to install: this file belongs to Zhao73/alphacouncil-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Zhao73/alphacouncil-agent/main/AGENTS.mdgit clone --depth 1 https://github.com/Zhao73/alphacouncil-agentWrote 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/instructions/zhao73/alphacouncil-agent/agents-md)<a href="https://agentmods.dev/instructions/zhao73/alphacouncil-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/zhao73/alphacouncil-agent/agents-md/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/instructions/zhao73/alphacouncil-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/zhao73/alphacouncil-agent/agents-md.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 | $0.03021 | $0.03021 |
| Opus 5.5 | $0.01208 | $0.01208 |
| Sonnet 5.5 | $0.00604 | $0.00604 |
| Haiku 4.5 | $0.00302 | $0.00302 |
Grade A, and why
alphacouncil-agent AGENTS.md 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 1mo 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 — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Instructions
Read CLAUDE.md first. It defines the workflow, analyst roles, final-report requirements, evidence contract and repository boundaries.
For report-generation behavior, also follow docs/report-contract.md. The chat handoff may be concise, but the saved report and artifact files must preserve the full evidence chain.
For anti-laziness governance, also follow skills/agent-skills-governance/SKILL.md. It is bundled with the plugin so installed agents inherit the same gates without separately installing addyosmani/agent-skills.
For methodology comparisons or Skill experiments, also follow
skills/alphacouncil-method-lenses/SKILL.md. Its 26 on-demand references are provisional
explanation material and never replace a frozen deterministic PersonaPack result.
Run npm run check after any code or prompt change.
Current Release Boundary
Package/plugin version 1.9.1 is the current source release candidate; GitHub, Codex marketplace and npm's public
latest tag must be verified separately before claiming it matches this source. The current source tree carries 26 physical
PersonaPack v3 packs, 26 operator_lens seats and 52 executable method tools, with 0 validated
method_model seats. Human review of the authored formulas, the live four-code-host
end-to-end run, and the separate ChatGPT Work developer-mode end-to-end run are outstanding,
so do not present a passing full/quick report or a packaged smoke as evidence that any has
been done.
Council Modes
full is the default and uses the full_v2 contract. It requires all eight mandatory
evidence roles, every selected method, the three-round Bull/Bear cross-exam and PM. If any
mandatory evidence role still fails after its one bounded parse-only repair, persist the
failure/diagnostic artifacts, skip method/debate/PM model calls and terminate incomplete
before downstream synthesis. Never auto-downgrade that run to quick.
Plugin-managed headless full runs launched with analyze_symbol use the selected pace's hard
queue-to-terminal-persistence ceiling: 15 minutes for fast, 30 for normal, and 60 for slow. The eight mandatory evidence workers
start in one parallel wave. Each selected v3 method first produces a deterministic, frozen
stance. Scored methods then get one isolated voice worker that may explain, but never change,
that stance; hashed frozen out_of_scope results retain their deterministic explanation
without another voice call. Bull and Bear run in parallel within each of the three rounds, with a hard barrier
between rounds, followed by the PM. Retries, queueing and persistence consume the same
deadline; callers and environment variables may lower it, never raise it. At expiry, persist
a terminal fail-closed incomplete run and name every missing/skipped seat. The clock
guarantees terminal persistence, not successful completion when data providers, search or
model transport deteriorates.
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.
- 1mo ago Changed · +2 lines · +56 tokens per session 5b3a9493e44b
- 1mo ago First seen · 194 lines · 2,965 tokens per session scan A cfd25774bdb7
alphacouncil-agent AGENTS.md is an instructions file published in the GitHub repository Zhao73/alphacouncil-agent (3 stars, last pushed 1mo ago), licensed MIT. It adds 3,021 tokens to every session, about $0.0121 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.
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