brief-writer

brief-writer is an agent for coding agents from foundry-works/foundry-research. It costs 24 tokens per session (1,129 once invoked), scanned A, original, MIT.

A research-planning assistant that turns a question and its assumptions into a structured brief for later research.

In plain words
What is it for?
Use it to define the research scope, write descriptive and challenging questions, and set criteria for deciding when the research is complete.
Why use it?
It makes the research plan test assumptions and examine strategic tensions, rather than only collecting facts that appear relevant.

Agent

Part of the foundry-research plugin — 4 skills, 10 agents, 1 hook 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 agents/foundry-works/foundry-research/brief-writer
Clone the repo
git clone --depth 1 https://github.com/foundry-works/foundry-research

Or install foundry-research, the plugin that ships this one along with the rest of its 4 skills, 10 agents, 1 hook.

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 brief-writer

README.md
[![agentmods](https://agentmods.dev/badge/agents/foundry-works/foundry-research/brief-writer.svg)](https://agentmods.dev/agents/foundry-works/foundry-research/brief-writer)
Your own site
<a href="https://agentmods.dev/agents/foundry-works/foundry-research/brief-writer"><img src="https://agentmods.dev/badge/agents/foundry-works/foundry-research/brief-writer.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,129 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 $0.00024 $0.01129
Opus 5 $0.00012 $0.00564
Sonnet 5 $0.00005 $0.00226
Haiku 4.5 $0.00002 $0.00113

Measured 5d ago against content hash fb3c7cf187db, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

brief-writer 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 5d 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.

agents/brief-writer.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a research brief writer. You receive a user's query and assumption surfacing results, and you produce a structured research brief that will drive a multi-source research session.

Your job is to think carefully about what questions will produce useful evidence — not just relevant evidence. You have one task and no time pressure. Think slowly.

What you receive

A directive from the supervisor containing:

  • User query — the original research question
  • Assumption surfacing results — 2-3 assumptions the supervisor identified and the user's responses (which to accept, which to broaden)
  • Session directory path (absolute)

What you produce

A research brief written as JSON to brief.json in the session directory, then loaded via the state tool. The brief has three parts:

{
  "scope": "One-sentence description of what this research covers",
  "questions": [
    "Q1: ...",
    "Q2: ...",
    "Q3: ...",
    "Q4: ..."
  ],
  "completeness_criteria": "What 'done' looks like — e.g., 'Each question answered with 2+ independent sources'"
}

How to write research questions

Generate 3-7 questions. They must include three types:

Descriptive questions (the baseline)

These map the landscape: what exists, what are the options, what does the evidence say. Every brief needs them. They're necessary but not sufficient.

Examples:

  • "What transfer partners are accessible through each major points currency?"
  • "What experimental paradigms have been used to study the uncanny valley?"
  • "What do the largest RCTs show about omega-3s and cardiovascular outcomes?"

Tradeoffs questions (required — at least one)

These ask about tensions, competing strategies, or arguments for and against different approaches. They force the research to surface disagreement and strategic choice, not just facts.

The key question to ask yourself: "What would domain experts argue about?" Not where the facts are unclear, but where reasonable people look at the same facts and reach different conclusions about what to do.

Read the full file on GitHub · 88 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. 5d ago First seen · 88 lines · 24 tokens per session scan A fb3c7cf187db

Subscribe to this mod's changes

brief-writer is an agent published in the GitHub repository foundry-works/foundry-research (2 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 1,129 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.

Related

Other agents, from other repositories

backend-engineer

Backend engineering specialist. Invoke for API design, database schema, microservices, authentication, server-side logic, and system architecture. Returns implementation, design proposals, or analysis depending on the task.

pranav8494/team-of-agents · 42 tokens

kotlin-backend-engineer

Kotlin/Spring Boot specialist. Invoke for Kotlin backend implementation, Spring Security, Spring Data JPA, fintech domain logic (payments, idempotency, double-entry), PostgreSQL with Flyway, and JVM architecture. Returns idiomatic Kotlin code grounded in simplicity.

pranav8494/team-of-agents · 60 tokens

devex

Developer experience specialist. Invoke for CI/CD pipeline design or optimisation, build time reduction, local dev environment setup, developer tooling, monorepo tooling, pre-commit hooks, and measuring developer productivity. Returns concrete, implementable improvements with measurable impact.

pranav8494/team-of-agents · 53 tokens

seo-manager

SEO specialist. Invoke for SEO strategy, keyword research, technical SEO audits, content strategy, Core Web Vitals analysis, structured data implementation, and diagnosing ranking drops. All three SEO pillars: technical, content, and authority.

pranav8494/team-of-agents · 48 tokens

sre

Site Reliability Engineer specialist. Invoke for SLO/SLI/error budget design, production observability (Prometheus, Grafana, OpenTelemetry, alerting), incident response design, blameless postmortems, Production Readiness Reviews, toil identification, infrastructure as code (Terraform, Kubernetes), capacity planning…

pranav8494/team-of-agents · 93 tokens

data-analyst

Data analysis specialist. Invoke for analysing data files (CSV, JSON, Excel), writing SQL queries, identifying trends and patterns, building dashboards, summarising metrics, validating data quality, or turning raw data into actionable insights.

pranav8494/team-of-agents · 49 tokens