council-execution
Executes council queries by running the query pipeline across selected AI providers (Gemini, OpenAI, Grok, Perplexity),…
Executes agent-enhanced council queries as one Workflow of parallel Claude analyst agents that each query a provider, evaluate response quality, ask follow-up questions, and return a schema-enforced analysis with confidence ratings and blind spot analysis. Invoked when the
Claude Code
$ npx -y skills add hex/claude-council --skill deep-execution --agent claude-code
Codex
$ npx skills add hex/claude-council --skill deep-execution -a codex -y
Cursor
$ npx skills add hex/claude-council --skill deep-execution -a cursor -y
Gemini CLI
$ npx skills add hex/claude-council --skill deep-execution -a gemini-cli -y
GitHub Copilot
$ npx skills add hex/claude-council --skill deep-execution -a github-copilot -y
OpenCode
$ npx skills add hex/claude-council --skill deep-execution -a opencode -y
Windsurf
$ npx skills add hex/claude-council --skill deep-execution -a windsurf -y
name: deep-execution description: Executes agent-enhanced council queries as one Workflow of parallel Claude analyst agents that each query a provider, evaluate response quality, ask follow-up questions, and return a schema-enforced analysis with confidence ratings and blind spot analysis. Invoked when the --agents flag is used or when complex architectural decisions are detected.
Run one Workflow of parallel Claude analyst agents for deeper analysis. Each analyst queries its provider, evaluates response quality, can ask follow-up questions, and returns a structured analysis that the workflow enforces against the schema.
One shell call resolves what the workflow needs — each provider's model, its role, and the question file it will send — with the same helpers the standard flow uses. Paste the final question into the heredoc verbatim: the quoted marker means the shell does NOT interpret quotes, backticks or `$()` in it. The question is emitted once; each provider's role-injected variant is built in shell, not pasted again.
source "${CLAUDE_PLUGIN_ROOT}/scripts/lib/providers.sh"
source "${CLAUDE_PLUGIN_ROOT}/scripts/lib/roles.sh"
PROVIDERS=(<the selected providers, space separated>)
ROLES="<the --roles value, or empty>"
RUN=$(date +%s) # names this run's files; Step 6 reuses it
Q="$PWD/.claude/council-cache/.agents-$RUN"
mkdir -p "$PWD/.claude/council-cache"
# Self-ignoring, as cache.sh and run-council.sh keep it: these files carry the
# question and any --file contents, and must never land in a commit.
[[ -f "$PWD/.claude/council-cache/.gitignore" ]] || printf '*\n' > "$PWD/.claude/council-cache/.gitignore"
cat > "$Q.txt" <<'COUNCIL_Q_EOF'
<the question, verbatim>
COUNCIL_Q_EOF
# --file / auto-context: append the context to the question file here, e.g.
# { printf '\n\nHere is the content of %s:\n\n```\n' "<path>"; cat "<path>"; printf '```\n'; } >> "$Q.txt"
# An unknown role is refused, as the standard flow refuses it; assigning it
# would hand that provider the bare question under a role heading.
[[ -z "$ROLES" ]] || validate_roles "$ROLES" || exit 1
# The model the ANALYST agents run on — distinct from the provider models below,
# which are what actually answer the question. Pinned rather than inherited: an
# omitted model makes every analyst run on whatever model the user's session
# happens to use, so the cost of a mode that already fans out one agent per
# provider varies by a factor of several for no stated reason. Sonnet handles
# the analyst's work — run a query, judge the answer, emit a structured object.
ANALYST_MODEL="${COUNCIL_AGENT_MODEL:-sonnet}"
case "$ANALYST_MODEL" in
sonnet|opus|haiku|fable) ;;
*) echo "COUNCIL_AGENT_MODEL must be one of: sonnet, opus, haiku, fable (got '$ANALYST_MODEL')" >&2; exit 1 ;;
esac
echo "analyst model $ANALYST_MODEL"
ASSIGNMENTS=""
[[ -n "$ROLES" ]] && ASSIGNMENTS=$(assign_roles_to_providers "$ROLES" "${PROVIDERS[@]}")
echo "run $RUN"
for p in "${PROVIDERS[@]}"; do
role=""
[[ -n "$ASSIGNMENTS" ]] && role=$(get_provider_role "$p" "$ASSIGNMENTS")
qf="$Q.txt"
if [[ -n "$role" ]]; then
qf="$Q-$p.txt"
build_prompt_with_role "$(cat "$Q.txt")" "$role" > "$qf"
fi
printf '%s\t%s\t%s\n' "$p" "$(get_model "$p")" "$qf"
doneIt prints the run id, then the analyst model, then one line per provider: name, model (shown in the Step 4 header), and the absolute path of that provider's question file. Pass the analyst model to the workflow as `analystModel`; the workflow script cannot read the environment itself.
Agent mode is one Workflow: one analyst agent per provider, in parallel, each returning its analysis through schema-enforced structured output. The user asked for agent mode (`--agents`, or yes to the prompt in ask.md Step 1.5), which is the opt-in the Workflow tool requires.
If the Workflow tool is not available in this session, stop here: tell the user that `--agents` needs a Claude Code with the Workflow tool, and offer to run the same question in standard mode instead. Do not fall back to another way of spawning agents.
Read `${CLAUDE_PLUGIN_ROOT}/schemas/agent-analysis.schema.json` with the Read tool, then call the Workflow tool with this script, verbatim, via `script`:
export const meta = {
name: 'council-agents',
description: 'One analyst per council provider: query it, judge the answer, follow up, return a structured analysis',
phases: [{ title: 'Analyze', detail: 'one analyst agent per provider, in parallel' }],
}
// The tool's schema validator does not know the draft-2020-12 dialect the
// file declares; without the declaration it validates the same keywords fine.
const schema = { ...args.schema }
delete schema.$schema
const template = `${args.pluginRoot}/skills/deep-execution/agent-prompt-template.md`
// Single stage: there is no later step for a finished analyst to move on to,
// so the barrier costs nothing.
const results = await parallel(args.providers.map(p => () =>
agent(
`You are the council analyst for the provider "${p.name}".\n` +
`Read ${template} and carry out every step in it, with these values:\n` +
`- {PROVIDER} = ${p.name}\n` +
`- {PLUGIN_ROOT} = ${args.pluginRoot}\n` +
`- {QUESTION_FILE} = ${p.questionFile}\n` +
`Your final answer is the Round 3 analysis object, returned through the structured output tool.`,
{ label: p.name, phase: 'Analyze', schema, agentType: 'general-purpose',
model: args.analystModel })))
// parallel() keeps a dead or skipped analyst's slot as null, index-aligned with args.providers.
const failed = args.providers.filter((_, i) => !results[i]).map(p => p.name)
if (failed.length) log(`no analysis from: ${failed.join(', ')}`)
return {
// The label goes last so an analyst that emits its own "provider" key cannot rename itself.Claude Code plugin that asks several AI coding agents the same question and shows their answers side by side. Gemini, OpenAI, Grok, Perplexity, Kimi and any model OpenRouter routes to over API; codex, antigravity, grok, kimi and cursor CLIs on subscription auth; ollama locally. Codex specialists take coding tasks on their own branch (experimental).
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