wh:report

wh:report is a command for Claude Code from maxwellsdm1867/wheeler. It costs 22 tokens per session (1,436 once invoked), scanned A, original, MIT.

A work-log command for Wheeler that summarizes recent research activity recorded in its knowledge graph. The report can cover today, the past week, or a chosen start date.

In plain words
What is it for?
Use it to create a dated summary of recent research work, including newly created or changed findings, hypotheses, and open questions.
Why use it?
It gathers recent findings, hypotheses, and other project changes in one place instead of requiring a manual review of the graph.

Command for Claude Code

Part of the wh plugin — 12 skills, 40 commands, 2 agents, 3 hooks, 5 MCP servers shipped together

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.

agentmods
npx agentmods add commands/maxwellsdm1867/wheeler/report
Clone the repo
git clone --depth 1 https://github.com/maxwellsdm1867/wheeler

Made for: Claude Code.

Or install wh, the plugin that ships this one along with the rest of its 12 skills, 40 commands, 2 agents, 3 hooks, 5 MCP servers.

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.

agentmods badge for wh:report

README.md
[![agentmods](https://agentmods.dev/badge/commands/maxwellsdm1867/wheeler/report.svg)](https://agentmods.dev/commands/maxwellsdm1867/wheeler/report)
Your own site
<a href="https://agentmods.dev/commands/maxwellsdm1867/wheeler/report"><img src="https://agentmods.dev/badge/commands/maxwellsdm1867/wheeler/report.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,436 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00022 $0.01436
Opus 5 $0.00011 $0.00718
Sonnet 5 $0.00004 $0.00287
Haiku 4.5 $0.00002 $0.00144

Measured 3d ago against content hash 1a0fc3fef543, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wh:report 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 3d 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.

.claude/commands/wh/report.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 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, generating a work log by scanning the knowledge graph for recent activity.

Your Job

Query the graph for everything created or modified in the requested time period and produce a structured report. No manual input needed — the graph has timestamps on every node.

Step 1: Determine Time Window

Parse $ARGUMENTS:

  • today → last 24 hours
  • week → last 7 days
  • since YYYY-MM-DD → from that date to now
  • No argument → default to today

Step 2: Query Recent Activity

Run these Cypher queries to find everything created in the time window:

Findings:

MATCH (f:Finding) WHERE f.date >= $since
RETURN f.id AS id, f.description AS desc, f.confidence AS conf, f.tier AS tier, f.date AS date
ORDER BY f.date DESC

Hypotheses:

MATCH (h:Hypothesis) WHERE h.date >= $since
RETURN h.id AS id, h.statement AS stmt, h.status AS status, h.date AS date
ORDER BY h.date DESC

Open Questions:

MATCH (q:OpenQuestion) WHERE q.date_added >= $since
RETURN q.id AS id, q.question AS question, q.priority AS priority, q.date_added AS date
ORDER BY q.priority DESC

Executions (scripts run):

MATCH (x:Execution) WHERE x.started_at >= $since
OPTIONAL MATCH (x)-[:USED]->(s:Script)
RETURN x.id AS id, x.description AS desc, x.kind AS kind, s.path AS script, x.started_at AS date
ORDER BY x.started_at DESC

Papers added:

MATCH (p:Paper) WHERE p.date_added >= $since
RETURN p.id AS id, p.title AS title, p.authors AS authors, p.date_added AS date
ORDER BY p.date_added DESC

Documents written:

MATCH (w:Document) WHERE w.date >= $since
RETURN w.id AS id, w.title AS title, w.section AS section, w.status AS status, w.date AS date
ORDER BY w.date DESC

Read the full file on GitHub · 178 lines

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.

  1. 3d ago First seen · 178 lines · 22 tokens per session scan A 1a0fc3fef543

Subscribe to this mod's changes

wh:report is a command published in the GitHub repository maxwellsdm1867/wheeler (10 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 1,436 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.