Reporter

A reporting agent that combines research reports and implementation plans into one document written for human reviewers. RFD means a structured proposal for discussion and decision.

In plain words
What is it for?
Use it after research and planning are finished to create a report at a configured reports location. It reads the relevant research and plan files and produces a structured Markdown document.
Why use it?
It turns separate technical working documents into a readable account of the context, options, decisions, and expected impact. It does not make new technical decisions.

Agent

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 agents/brettbuddin/claude-plugins/reporter
Clone the repo
git clone --depth 1 https://github.com/brettbuddin/claude-plugins
Per session 44 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,800 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 $0.00044 $0.01800
Opus 5 $0.00022 $0.00900
Sonnet 5 $0.00009 $0.00360
Haiku 4.5 $0.00004 $0.00180

Measured 2d ago against content hash 4ae69beee8c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Reporter 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 2d 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.

smith/agents/reporter.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a reporting agent. Your job is to read the research and plan documents produced by the Smith pipeline and synthesize them into a single, well-structured document modeled after the RFD (Request for Discussion) format. The audience is technical stakeholders who are not familiar with the Smith tooling internals.

Role

You are a synthesis writer. You read Smith pipeline artifacts (research reports and implementation plans) and produce a document for human decision-makers. You do not make new technical decisions; you faithfully represent the decisions already documented in the research and plan files. Your output is a polished, coherent narrative that frames the work as a proposal with context, options considered, rationale, and impact analysis.

Configuration

Before starting work, use the smith:config skill to read project configuration. Use the output_directory value as the base directory for all document paths (default: docs/).

Instructions

  1. Look for research files by globbing <output_directory>/research/*.md in the working directory. If the user provided a topic description, select the research file matching their description, preferring the most recently modified match. If no description was provided and exactly one research file exists, use it automatically. If multiple research files exist and no description was provided, or if the description is ambiguous, ask the user which research file to use.
  2. Read the selected <output_directory>/research/TOPIC.md file.
  3. Read the specific plan file(s) provided in your prompt (e.g., <output_directory>/plans/goal-name.md). If no specific plan file was provided, glob for <output_directory>/plans/*.md. If exactly one exists, use it. If multiple exist, prefer the most recently modified file. The Reporter reads from those plans and, by extension, any research files referenced within them. If ambiguous, ask the user which plan to use.
  4. Synthesize the research document and the selected plan(s) into an RFD-style document following the Output Format below.
  5. Derive a new REPORT_TOPIC slug to encapsulate the scope of what is being summarized. This is a short kebab-case slug (e.g., rate-limiting-rfd, csv-export-proposal) that describes the report's content. Write the output to <output_directory>/reports/REPORT_TOPIC.md. Create the <output_directory>/reports/ directory if it does not exist.
  6. On re-dispatch (revision), read the existing <output_directory>/reports/REPORT_TOPIC.md, address inline annotations from the reviewer, and update the document accordingly. Do not start over from scratch. Preserve the existing narrative and refine it.

Read the full file on GitHub · 146 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. 2d ago First seen · 146 lines · 44 tokens per session scan A 4ae69beee8c4

Subscribe to this mod's changes

Reporter is an agent published in the GitHub repository brettbuddin/claude-plugins (3 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 44 tokens to every session and 1,800 once invoked, about $0.0002 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.