pm

pm is an agent for coding agents from sweatco/archie-hq. It costs 0 tokens per session (166 once invoked), scanned A, original, AGPL-3.0.

An example project-management instruction layer added to a project manager agent's standing instructions.

In plain words
What is it for?
Use it to configure how a project-management agent understands an organization, its team, regular requesters, and communication preferences.
Why use it?
It gives the agent a place to store team context, preferred reply style, and defaults that should apply across conversations.

Agent

Part of the pm plugin — 1 skill, 1 agent 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/sweatco/archie-hq/pm
Clone the repo
git clone --depth 1 https://github.com/sweatco/archie-hq

Or install pm, the plugin that ships this one along with the rest of its 1 skill, 1 agent.

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 pm

README.md
[![agentmods](https://agentmods.dev/badge/agents/sweatco/archie-hq/pm.svg)](https://agentmods.dev/agents/sweatco/archie-hq/pm)
Your own site
<a href="https://agentmods.dev/agents/sweatco/archie-hq/pm"><img src="https://agentmods.dev/badge/agents/sweatco/archie-hq/pm.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 166 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00000 $0.00166
Opus 5 $0.00000 $0.00083
Sonnet 5 $0.00000 $0.00033
Haiku 4.5 $0.00000 $0.00017

Measured 5d ago against content hash 49c117b0430e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pm 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.

examples/plugins/pm/agents/pm.md · 14 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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 · 14 lines · 0 tokens per session scan A 49c117b0430e

Subscribe to this mod's changes

pm is an agent published in the GitHub repository sweatco/archie-hq (16 stars, last pushed yesterday), licensed AGPL-3.0. It costs nothing until one of its globs matches a file; then it loads 166 tokens. 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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