report

report is a command for coding agents from hainamchung/agent-assistant. It costs 20 tokens per session (777 once invoked), scanned A, original, MIT.

A reporting router that selects a process for creating a report, updating existing documents, or generating content from a template.

In plain words
What is it for?
It helps create reports, update documentation, and produce documents in a requested format.
Why use it?
It removes the need to decide how a reporting request should be handled.

Command

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/hainamchung/agent-assistant/report
Clone the repo
git clone --depth 1 https://github.com/hainamchung/agent-assistant

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 report

README.md
[![agentmods](https://agentmods.dev/badge/commands/hainamchung/agent-assistant/report.svg)](https://agentmods.dev/commands/hainamchung/agent-assistant/report)
Your own site
<a href="https://agentmods.dev/commands/hainamchung/agent-assistant/report"><img src="https://agentmods.dev/badge/commands/hainamchung/agent-assistant/report.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 777 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 $0.00020 $0.00777
Opus 5 $0.00010 $0.00388
Sonnet 5 $0.00004 $0.00155
Haiku 4.5 $0.00002 $0.00078

Measured yesterday against content hash 5e6ccaa39b3b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 yesterday.

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.

commands/report.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/report — Reporting Router

ROUTER DIRECTIVE: Analyze reporting needs and route to appropriate reporting workflow.

MULTI-PURPOSE: Report supports any topic and three output modes — create new report, update existing files, or generate from user template/format.

$ARGUMENTS


🛑 PRE-FLIGHT (DO FIRST — BLOCKS EXECUTION)

LOAD now (in order; path ./rules/ or ~/.{TOOL}/skills/agent-assistant/rules/):

  1. CORE.md — Identity, Laws, Routing
  2. PHASES.md — Phase Execution
  3. AGENTS.md — Tiered Execution

⛔ Do not run any workflow phase until all are loaded. Follow all rules in those files. Then run this file's ROUTING LOGIC, LOAD the chosen variant workflow, and execute it.


OUTPUT MODES (infer from user request)

Reporter infers the mode from what the user asks for — no fixed phrase list. Choose by intent:

Mode User intent Reporter action
Create report User wants a new deliverable (report, summary, analysis, documentation). Scout/synthesize → write new file under ./.reports/{topic}/ or path user specifies.
Update existing User wants changes reflected in existing files (docs, README, specs, etc.). Scout → identify related files → edit those files. Do not create a new report unless also asked.
From template User provides a format, template, or structure to follow. Use that format/structure → generate file(s) matching it (e.g. after scouting source).

Topic-agnostic: Subject is whatever the user asks for — infer from the request; not limited to status or technical only.


ROUTING LOGIC

IF task is simple status update OR summary:
  → Route to /report:fast

IF task is comprehensive analysis OR deep dive OR any non-trivial topic (infer from request):
  → Route to /report:hard

IF user explicitly asks to UPDATE existing files (not create report):
  → Use /report:hard or /report:team; reporter OUTPUT MODE = update existing files

IF task is complex AND maximum quality with team collaboration needed:
  → Route to /report:team

IF unsure:
  → Default to /report:fast (escalate if needed)

Read the full file on GitHub · 90 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. yesterday First seen · 90 lines · 20 tokens per session scan A 5e6ccaa39b3b

Subscribe to this mod's changes

report is a command published in the GitHub repository hainamchung/agent-assistant (54 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 777 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 2026-09-03.