What is council-replay?

A terminal command for replaying a past Agent Council session, including the original question, each agent’s opinion, and the chairman’s combined conclusion. An Agent Council is a panel of command-line AI agents that discusses a question.

Opening a saved council deliberation by session ID and reviewing its complete discussion in the terminal.

It lets developers review how an earlier decision was reached without running the discussion again. It also points to commands for revisiting or recording the outcome.

council-replay — Skill for Claude Code by yogirk/agent-council

Install

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.

Any agent

npx skills add yogirk/agent-council --skill council-replay

Clone the repo

git clone --depth 1 https://github.com/yogirk/agent-council

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/yogirk/agent-council/council-replay/github.svg)](https://agentmods.dev/skills/yogirk/agent-council/council-replay)

Your own site

<a href="https://agentmods.dev/skills/yogirk/agent-council/council-replay"><img src="https://agentmods.dev/badge/skills/yogirk/agent-council/council-replay/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/yogirk/agent-council/council-replay"><img src="https://agentmods.dev/badge/skills/yogirk/agent-council/council-replay.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 364 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00037	$0.00364
Opus 5.5	$0.00015	$0.00146
Sonnet 5.5	$0.00007	$0.00073
Haiku 4.5	$0.00004	$0.00036

Measured 2mo ago against content hash 2f982428e9fe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

council-replay 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.

skills/claude-code/council-replay/SKILL.md · 34 lines

What it actually says

Council Replay

Replay a past council deliberation session in the terminal.

Usage

The user invokes /council-replay <session-id>.

Run

Replace {SESSION_ID} with the session ID the user provided.

COUNCIL_BIN=""; for _d in "$HOME/.claude/skills/agent-council" "$HOME/.agents/skills/agent-council" "$HOME/.gemini/skills/agent-council" "$(git rev-parse --show-toplevel 2>/dev/null)"; do [ -x "$_d/bin/council" ] && COUNCIL_BIN="$_d/bin/council" && break; [ -x "$_d/council" ] && COUNCIL_BIN="$_d/council" && break; done; [ -z "$COUNCIL_BIN" ] && COUNCIL_BIN="$(which council 2>/dev/null || echo "bin/council")"
SLUG=$(basename "$(git rev-parse --show-toplevel 2>/dev/null || pwd)")
$COUNCIL_BIN replay {SESSION_ID} --project "$SLUG"

After the replay, tell the user:

Next steps:

Re-run with current context: /council-revisit <session-id>

Record outcome: /council-outcome <session-id> "what happened"

Open viewer: open ~/.council/{project}/{session-id}/viewer.html

Changes

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 · 34 lines · 37 tokens per session scan A 2f982428e9fe

Subscribe to this mod's changes

council-replay is a skill published in the GitHub repository yogirk/agent-council (92 stars, last pushed 7mo ago), licensed MIT. It adds 37 tokens to every session and 364 once invoked, about $0.0001 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 2026-08-30.

Building agents

council-replay next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
council-replayyogirk/agent-council	Skill	92	7mo ago	MIT	A	37	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code