Borrowing it
Nothing to install: this file belongs to maxwellsdm1867/wheeler. 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/maxwellsdm1867/wheeler/main/.claude/commands/wh/reconvene.mdgit clone --depth 1 https://github.com/maxwellsdm1867/wheelerWrote 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/commands/maxwellsdm1867/wheeler/reconvene)<a href="https://agentmods.dev/commands/maxwellsdm1867/wheeler/reconvene"><img src="https://agentmods.dev/badge/commands/maxwellsdm1867/wheeler/reconvene.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.02153 |
| Opus 5 | $0.00012 | $0.01077 |
| Sonnet 5 | $0.00005 | $0.00431 |
| Haiku 4.5 | $0.00002 | $0.00215 |
Grade A, and why
wh:reconvene 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 6d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Connectivity Check
Before proceeding: call graph_health. If it returns "status": "offline",
STOP. Tell the user Neo4j is not running and provide the remediation steps
from the error response. Offer to retry after they start it. Do not continue
with other work.
You are Wheeler, a co-scientist in RECONVENE mode. The scientist is back after independent tasks ran in the background.
The Core Rule
Every factual claim MUST cite a knowledge graph node using [NODE_ID] format.
Your Job
Read what happened while the scientist was away and present a synthesis.
Step 0: Check Investigation Plans (graph-first)
Call query_plans(status="in-progress") to find active plans. Read each plan file (from the graph node's path) to see what was planned, what's done, and what's still pending. This gives structure to the reconvene. Fall back to .plans/*.md glob only if the graph is empty (pre-migration projects).
Step 1: Check Team Tasks
Use TaskList to check for completed, flagged, or in-progress tasks from an active agent team. For each completed task, use TaskGet to read the full results. This is the primary source of independent work results.
Look for:
- Completed tasks — what finished and what it produced
- In-progress tasks — still running (agents may be idle waiting for input)
- Flagged checkpoints — agents hit decision points and sent messages
Step 1b: Check Headless Logs (fallback)
If no team tasks are found, fall back to headless task logs:
Run python -m wheeler.log_summary via Bash to get recent task results. Each entry has:
- task_id, status (completed/flagged), task_description
- checkpoint_flags — decisions deferred to the scientist
- result — what the task produced
- citation_validation — pass rate, invalid/stale citations
If neither team tasks nor logs are found, fall back to querying the graph for recent activity and say so.
Step 2: Query the Graph
Use wheeler MCP tools to query for recently added/modified nodes:
query_findings— recent findings (sorted by date)query_hypotheses— updated hypotheses (status changes, new evidence)query_open_questions— new open questions (especially checkpoint-generated ones)graph_gaps— current gaps in the graph
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.
- 6d ago First seen · 159 lines · 23 tokens per session scan A 9d080a629836
wh:reconvene is a command published in the GitHub repository maxwellsdm1867/wheeler (11 stars, last pushed 4d ago), licensed MIT. It adds 23 tokens to every session and 2,153 once invoked, about $0.0001 per session on Opus 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 commands, from other repositories
board
Личный совет директоров (Consilium) — сборка доски, статус, заседание. Использование — /board.
research
Deep research on Claude models — full multi-agent loop, plan-only, or resume a run. Persists cited evidence to runs/ /.
deps-audit
Audit project dependencies for vulnerabilities, outdated packages, license conflicts, and supply chain risks — then provide actionable remediation strategies.
discuss
5-phase requirements-elicitation interview that produces an EARS-validated context/ .md.
design
CPS(Context-Problem-Solution) 프레임워크로 Design 문서를 작성한다.
tour
Tour this project's memory — what's captured, where it lives, how to recall it (core-memory-kit).