product-context

product-context is a skill for Codex from markoblogo/abvx-agent-skills. It costs 58 tokens per session (514 once invoked), scanned A, original, MIT.

A fact-based product brief created before marketing, search, analytics, sales, or launch work. It records the product, audience, user jobs, terminology, evidence, limits, approved voice, and claims that need confirmation.

In plain words
What is it for?
Use it to prepare or update a product context document and guide content, SEO, analytics, sales-enablement, and launch work.
Why use it?
It keeps commercial writing grounded in the actual product instead of invented positioning, proof, or customer claims.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to prepare or update a product context document and guide content, SEO, analytics, sales-enablement, and launch work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/markoblogo/abvx-agent-skills/product-context
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 markoblogo/abvx-agent-skills --skill product-context
Clone the repo
git clone --depth 1 https://github.com/markoblogo/abvx-agent-skills

Made for: Codex.

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 product-context

README.md
[![agentmods](https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/product-context/github.svg)](https://agentmods.dev/skills/markoblogo/abvx-agent-skills/product-context)
Your own site
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/product-context"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/product-context/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 product-context

Your own site · 80×15
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/product-context"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/product-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 514 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 $0.00058 $0.00514
Opus 5 $0.00029 $0.00257
Sonnet 5 $0.00012 $0.00103
Haiku 4.5 $0.00006 $0.00051

Measured 9d ago against content hash a3858f8e6ca1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

product-context 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 9d 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.

skills/product-context/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Context

Create a small, durable context artifact that lets later product work start from evidence instead of generic positioning.

Use When

  • entering marketing, content, SEO, analytics, sales, or launch work in a repo;
  • the product, audience, conversion action, or proof boundary is unclear;
  • existing public copy and internal product behavior have drifted.

Workflow

  1. Read existing product docs, public copy, analytics contracts, and relevant implementation surfaces.
  2. Separate confirmed facts from assumptions, placeholders, and claims needing owner confirmation.
  3. Draft or update docs/product-context.md unless the repo already defines a better canonical path.
  4. Keep only: product and audience, jobs and conversion action, terminology, proof and known limits, approved voice, prohibited claims, source surfaces, and last-reviewed date.
  5. Ask for confirmation where positioning, ICP, pricing, competitor claims, or proof cannot be established from the repo.
  6. Link future work to the context; do not treat it as permission to publish, spend, contact people, or change product behavior.

Guardrails

  • Never invent customer quotes, metrics, market position, availability, pricing, partner status, or legal/compliance claims.
  • Keep personal data and private sales evidence out of a committed context file.
  • Treat a product context as a reviewable input, not a source of truth over code, current policy, or human direction.
  • Preserve domain-specific safety language such as financial, booking, or approval boundaries.

Output Shape

Use these headings where applicable: Product, Audience and jobs, Conversion action, Proof and limits, Language, Claim boundaries, Source surfaces, Maintenance.

Pair With

  • evidence-ledger-research for external facts;
  • social-publishing-gate before distribution;
  • bounded-growth-loop before recurring optimization;
  • loop-readiness-review before scheduling any loop.

Provenance

Adapted from the shared-context architecture in coreyhaines31/marketingskills, narrowed to evidence-backed, product-neutral context with explicit claim boundaries.

Read the full file on GitHub · 50 lines

Files

What ships with it

2 files 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. 9d ago First seen · 50 lines · 58 tokens per session scan A a3858f8e6ca1

Subscribe to this mod's changes

product-context is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 514 once invoked, about $0.0003 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.