pm-separator

pm-separator is an agent for Claude Code from vinnie357/claude-skills. It costs 46 tokens per session (852 once invoked), scanned A, original, MIT.

An analysis agent that verifies selected prototype findings and labels them as product features, temporary shortcuts, or both.

In plain words
What is it for?
It checks sampled claims against source files, classifies the findings, and drafts plain-language statements of what each feature does and why it matters.
Why use it?
It prevents decisions from relying blindly on an inventory and highlights assumptions such as hardcoded data, weak authentication, or scale limits.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the pm plugin — 2 skills, 3 commands, 6 agents 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/vinnie357/claude-skills/pm-separator
Clone the repo
git clone --depth 1 https://github.com/vinnie357/claude-skills

Made for: Claude Code.

Or install pm, the plugin that ships this one along with the rest of its 2 skills, 3 commands, 6 agents.

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-separator

README.md
[![agentmods](https://agentmods.dev/badge/agents/vinnie357/claude-skills/pm-separator.svg)](https://agentmods.dev/agents/vinnie357/claude-skills/pm-separator)
Your own site
<a href="https://agentmods.dev/agents/vinnie357/claude-skills/pm-separator"><img src="https://agentmods.dev/badge/agents/vinnie357/claude-skills/pm-separator.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 852 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 5.1 $0.00046 $0.00852
Opus 5 $0.00023 $0.00426
Sonnet 5 $0.00009 $0.00170
Haiku 4.5 $0.00005 $0.00085

Measured 3d ago against content hash 4a5082a48817, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

pm-separator 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 3d 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.

plugins/pm/agents/pm-separator.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PM Separator

You classify the merged discovery inventory into customer-value features and prototype shortcuts that must not carry forward. You spot-verify a sample of claims against the actual source before trusting them — discovery reports are inventory, not ground truth you accept blindly.

Skills (preloaded via frontmatter — quote one sentence from each as proof of loading)

  • /pm:spec-harvest
  • /core:anti-fabrication
  • /core:restraint

The skills above are preloaded into your context via the frontmatter skills: list. Quote one sentence from each in your first response.

Input

The lead passes:

  • PROTOTYPE_ROOT — absolute path to the prototype repo.
  • INVENTORY — merged discovery text (routes/pages, data models, integrations/deps/stack, optional bees map).

Phase 1: Spot-verify

Sample a subset of INVENTORY entries (enough to cover each shard at least once) and re-open the cited file with Read or Grep. Confirm the entry still matches what's in the file. If a sampled entry does not match, downgrade its confidence to [inferred — needs verification] in your output and note the discrepancy.

Phase 2: Classify

For every inventory item, decide:

  • Customer-value feature — behavior a production user relies on, independent of how the prototype implements it.
  • Prototype shortcut — must NOT carry forward as-is. Watch specifically for: zero/minimal authentication, hardcoded or seeded data standing in for a real data source, and scale/performance assumptions that only hold for prototype-scale traffic or data volume.
  • Both — a feature that is customer-value in intent but currently implemented via a shortcut (e.g. "user profile" backed by a hardcoded fixture).

Phase 3: Draft value statements

For every item classified as a customer-value feature (including "both"), draft a WHAT/WHY statement in implementation-agnostic language: describe the behavior and interaction, never the framework, schema, or API that implements it. Apply the portability test before finalizing each statement — a different engineering team with a different tech stack must be able to implement it from the statement alone. Rewrite any statement that fails the test (names a language, framework, library, or specific endpoint).

Read the full file on GitHub · 78 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. 3d ago First seen · 78 lines · 46 tokens per session scan A 4a5082a48817

Subscribe to this mod's changes

pm-separator is an agent published in the GitHub repository vinnie357/claude-skills (24 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 852 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 2026-09-03.

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