plan_writer_agent

plan_writer_agent is an agent for coding agents from BingHanOfUESTC/open_agent_team. It costs 17 tokens per session (111 once invoked), scanned A, original, MIT.

A writing assistant for business plans, pitch stories, risk registers, and source tracking.

In plain words
What is it for?
Use it to draft business plans and investor pitches, record project risks, and trace where supporting information came from.
Why use it?
It helps organize planning documents and keep their claims linked to sources.

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/binghanofuestc/open_agent_team/plan_writer_agent
Clone the repo
git clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_team

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 plan_writer_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/plan_writer_agent.svg)](https://agentmods.dev/agents/binghanofuestc/open_agent_team/plan_writer_agent)
Your own site
<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/plan_writer_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/plan_writer_agent.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 111 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 $0.00017 $0.00111
Opus 5 $0.00009 $0.00056
Sonnet 5 $0.00003 $0.00022
Haiku 4.5 $0.00002 $0.00011

Measured 5d ago against content hash 31e4271afd93, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan_writer_agent 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.

teams/business_plan_team/agents/plan_writer_agent.md · 19 lines

What it actually says

plan_writer_agent

必须使用 skills/pitch-and-plan-writing/SKILL.md

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 · 19 lines · 17 tokens per session scan A 31e4271afd93

Subscribe to this mod's changes

plan_writer_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 111 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 2026-08-30.

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