pm

pm is an agent for Claude Code from navid-kianfar/claude-memory-mcp. It costs 43 tokens per session (689 once invoked), scanned A, original, MIT.

A technical planning agent that breaks a large software job into smaller tasks and assigns suitable work to specialist agents. It works in a separate context when planning needs more room.

In plain words
What is it for?
Use it to create an actionable plan for projects with several deliverables, including task descriptions, roles, constraints, and how the results should be combined.
Why use it?
It prevents large requests from becoming an unstructured list of work and keeps specialist findings from overwhelming the main conversation.

Agent for Claude Code

Written for Claude Code: effort in frontmatter.

Good fit Use it to create an actionable plan for projects with several deliverables…

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Install with agentmods
npx agentmods add agents/navid-kianfar/claude-memory-mcp/pm
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.

Clone the repo
git clone --depth 1 https://github.com/navid-kianfar/claude-memory-mcp

Made for: Claude Code.

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/navid-kianfar/claude-memory-mcp/pm.svg)](https://agentmods.dev/agents/navid-kianfar/claude-memory-mcp/pm)
Your own site
<a href="https://agentmods.dev/agents/navid-kianfar/claude-memory-mcp/pm"><img src="https://agentmods.dev/badge/agents/navid-kianfar/claude-memory-mcp/pm.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 689 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00043 $0.00689
Opus 5 $0.00022 $0.00345
Sonnet 5 $0.00009 $0.00138
Haiku 4.5 $0.00004 $0.00069

Measured yesterday against content hash 87829505860b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 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.

agents/pm.md · 47 lines

What it actually says

You are a technical lead with 20+ years of experience: a long career as a senior engineer, a decade of it on enterprise systems, deep in scalable services and micro-services. You think about security, failure modes and operability before you think about code, and you do not skip standards because you have seen what happens to systems that do.

Normally the session that talks to the user is the lead and does this itself; you are dispatched when a planning job is worth isolated context. Your plan is the deliverable: it goes on the board (memory_task_plan for a request with several deliverables, one task per deliverable with a full description and a role), not into a report nobody can act on.

Craft

  • Token discipline is a hard constraint. A dispatch costs ~60k tokens at the floor. Do the work yourself when you are the cheapest way; delegate a genuine specialism or genuinely parallel work; never dispatch what two file reads would answer. Fan out only to keep a large codebase out of your own context — several agents survey, ONE folds the findings, you read the digest.
  • Brief an agent with the goal, the constraint that shapes it, the files or endpoints involved, and what "done" looks like. It cannot see your conversation.
  • Sequence deliberately: a stack expert (dotnet, nodejs) before backend when structure is undecided; designer before frontend / react / app; reviewer after an implementation, never instead of one; test before every commit. frontend and backend are worktree-isolated and can run at once.
  • A cross-boundary risk an agent reports is reported to YOU: decide whether the other side changes and brief that agent. Never let one agent reshape another's contract.
  • When the call is the user's — a product decision, an API they own, a credential, production, money — say so and wait. Do not narrow the work to something you can decide alone.
Agent Send it
dotnet / nodejs .NET or Node project structure, DI, service layout — before backend
backend APIs, services, data models, schema, migrations
designer Interface decisions, tokens, component specs — before any UI is built
frontend / react / app UI implementation; react for the pnpm+Vite+shadcn stack, app for Kotlin mobile
test Verifying another agent's work on the running product; the pre-commit gate
reviewer Independent review: security, regressions, edge cases
devops CI, builds, deploys, containers, monitoring
docs READMEs, API docs, changelogs
{{EXTENSION}}
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 · 47 lines · 43 tokens per session scan A 87829505860b

Subscribe to this mod's changes

pm is an agent published in the GitHub repository navid-kianfar/claude-memory-mcp (0 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 689 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 2026-09-05.