proof-points

proof-points is a skill for Claude Code from stefanoskarakasis/Product-Marketing-Skills. It costs 84 tokens per session (5,023 once invoked), scanned A, original, MIT.

A registry and review process for the statistics, customer quotes, case-study results, and analyst references used in marketing messages.

In plain words
What is it for?
Use it to extract claims from sales material, add or verify a claim, check permission to name customers, and audit an existing claims registry.
Why use it?
It prevents unsupported, outdated, or unauthorised claims from being published and records the source and approval status for each claim.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions .claude-plugin.

Part of the pmm-positioning plugin — 9 skills, 9 commands shipped together

Good fit Use it to extract claims from sales material, add or verify a claim, check permission to name customers, and audit an existing claims registry.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stefanoskarakasis/product-marketing-skills/proof-points
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.

Any agent
npx skills add stefanoskarakasis/Product-Marketing-Skills --skill proof-points
Clone the repo
git clone --depth 1 https://github.com/stefanoskarakasis/Product-Marketing-Skills

Made for: Claude Code.

Or install pmm-positioning, the plugin that ships this one along with the rest of its 9 skills, 9 commands.

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 proof-points

README.md
[![agentmods](https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/proof-points/github.svg)](https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/proof-points)
Your own site
<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/proof-points"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/proof-points/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for proof-points

Your own site · 80×15
<a href="https://agentmods.dev/skills/stefanoskarakasis/product-marketing-skills/proof-points"><img src="https://agentmods.dev/badge/skills/stefanoskarakasis/product-marketing-skills/proof-points.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,023 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 $0.00084 $0.05023
Opus 5.5 $0.00034 $0.02009
Sonnet 5.5 $0.00017 $0.01005
Haiku 4.5 $0.00008 $0.00502

Measured 4d ago against content hash d2fc02e16358, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

proof-points 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 4d 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.

pmm-positioning/skills/proof-points/SKILL.md · 442 lines

How it starts

The opening of the file, as written. The whole thing — 442 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Proof Points

How This Works

Every stat, quote, and case study in your messaging is a promise — and every promise sales, legal, or a skeptical prospect can eventually ask you to back up. Almost no company has a clean registry of these; what they actually have is a mash of sales decks, battlecards, one-pagers, and case study PDFs, each one repeating (and slowly staling) numbers nobody's re-checked since the deck was built. This skill is both the intake and the gate: it mines claim candidates out of that mess, then makes sure nothing gets called "approved" without a source, no customer name ships without documented permission to use it, and every forbidden claim carries a stated reason — not a bare prohibition nobody can act on. It deepens your brain's existing Section 6 in place, the same Proof Points Registry message-house and positioning-messaging already read.

Step 0 — Load brain Section 6 (current registry, however thin).

Step 1 — Classify the request: Extract from source material, Add one claim directly, Verify a claim before it ships, or Audit the existing registry.

Step 2 (Extract) — Mine claim-shaped statements out of pasted decks, battlecards, case studies, or other GTM collateral; every candidate starts flagged, regardless of whether the source material cites its own source.

Step 3 (Add) — Require a source for a directly-supplied claim; unsourced claims get flagged, never silently approved.

Step 4 (Verify) — Check a claim someone wants to use against the registry: approved, forbidden, or not yet registered.

Step 5 (Audit) — Walk every existing entry for missing sources, stale dates, undocumented customer names, and unsupported superlatives.

Step 6 — Deepen brain Section 6 with the result (on user confirmation).

Step 7 — Learning Close: log the session to /context/skill-sessions.md.


Trigger

  • When: Building a proof points registry from scratch out of existing sales decks, battlecards, case studies, or pricing pages; adding a single new metric, quote, or case study directly; checking whether a specific stat or phrase is safe to use before it ships in copy; or auditing brain Section 6 for unsourced claims, stale proof, undocumented customer names, or unsupported superlatives.
  • Not for: Structuring raw, unstructured customer conversation — a call recording or interview transcript nobody's synthesized yet — into discovery insights → interview-summary, run first. That's a qualitatively different task (JTBD synthesis of what customers said) from this skill's Extract mode, which mines already-written claims out of already-somewhat-structured GTM collateral (a deck, a battlecard, a case study doc) — if Extract mode turns up a customer quote that traces back to a raw call nobody's written up, route that call through interview-summary first, then bring the resulting quote back here. Vocabulary, tone, and forbidden language (not claims) → brand-voice. Building the positioning statement or messaging hierarchy itself → positioning-messaging, run this first so it has a gated registry to cite from.
  • Example prompts:
    • "Pull proof points out of this battlecard"
    • "We don't have a registry — start one from these 3 sales decks"
    • "Add a proof point: 40% faster onboarding, from our Q3 customer survey"
    • "Can I say 'industry-leading' in this deck?"
    • "Audit our proof points — anything stale or unsourced?"

Read the full file on GitHub · 442 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago Changed d2fc02e16358
  2. 5d ago Changed · +13 lines 5b060166f7ba
  3. 9d ago Changed · +2 lines 2abce58eaf07
  4. 11d ago Changed · +13 lines 57648a03397e
  5. 13d ago Changed · +4 lines 1835f86789d1
  6. 20d ago First seen · 410 lines · 84 tokens per session scan A 64c14271fd4c

Subscribe to this mod's changes

proof-points is a skill published in the GitHub repository stefanoskarakasis/Product-Marketing-Skills (7 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 5,023 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-26.

Related

Other skills, from other repositories

summarize-meeting

Summarize a meeting transcript into structured notes with date, participants, topic, key decisions, summary points, and action items. Use when processing meeting recordings, creating meeting notes, writing meeting minutes, or recapping discussions.

phuryn/pm-skills · 51 tokens

summarize-interview

Summarize a customer interview transcript into a structured template with JTBD, satisfaction signals, and action items. Use when processing interview recordings or transcripts, synthesizing discovery interviews, or creating interview summaries.

phuryn/pm-skills · 46 tokens

becoming-senior-pm

Use this skill when the user asks "how do I become a senior PM", "what does senior PM actually mean", "I want to get promoted to senior", "what's the difference between PM and senior PM", "I've been a PM for 2–3 years and want to grow", "my manager says I need to work more strategically", "I'm stuck at PM level", or…

Productfculty-aipm/PM-Copilot-by-Product-Faculty · 126 tokens

founding-pm

Use this skill when the user says "I'm the first PM", "founding PM", "I joined a startup as the only PM", "how do I set up PM processes from scratch", "no PM infrastructure exists", "I'm building the PM function", "what should a first PM do in 90 days", or is navigating the unique challenges of being an early-stage PM…

Productfculty-aipm/PM-Copilot-by-Product-Faculty · 106 tokens

eval-suite-design

Use this skill when the user asks to "design an eval suite", "build evals for my AI feature", "create an evaluation framework", "how do I evaluate my AI", "what evals should I run", "build an eval system", or wants to create a systematic evaluation framework for an AI-powered product feature. Typically run after…

Productfculty-aipm/PM-Copilot-by-Product-Faculty · 83 tokens

improvement-flywheel

Use this skill when the user asks about "continuous improvement for AI", "AI quality flywheel", "how do we keep improving our AI feature", "closing the eval feedback loop", "systematic AI improvement process", or wants to build a repeating process that continuously improves AI product quality over time rather than…

Productfculty-aipm/PM-Copilot-by-Product-Faculty · 72 tokens