kb-clerk-com

kb-clerk-com is a skill for Claude Code, Codex from mo-root/open-kb. It costs 70 tokens per session (495 once invoked), scanned A, original, MIT.

A reference guide for understanding the market around Clerk, a service for adding user accounts and sign-in to web and mobile apps. Its files record companies, relationships, market segments, and evidence.

In plain words
What is it for?
Finding competitors, substitutes, buyers, communities, and market segments. It also helps create battlecards and trace each relationship back to quoted evidence.
Why use it?
It gives developers a way to check why an entity appears on the map instead of relying on unsupported claims or memory.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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 skills/mo-root/open-kb/kb-clerk-com
Any agent
npx skills add mo-root/open-kb --skill kb-clerk-com
Clone the repo
git clone --depth 1 https://github.com/mo-root/open-kb

Made for: Claude Code, 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 kb-clerk-com

README.md
[![agentmods](https://agentmods.dev/badge/skills/mo-root/open-kb/kb-clerk-com.svg)](https://agentmods.dev/skills/mo-root/open-kb/kb-clerk-com)
Your own site
<a href="https://agentmods.dev/skills/mo-root/open-kb/kb-clerk-com"><img src="https://agentmods.dev/badge/skills/mo-root/open-kb/kb-clerk-com.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 495 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 $0.00070 $0.00495
Opus 5 $0.00035 $0.00247
Sonnet 5 $0.00014 $0.00099
Haiku 4.5 $0.00007 $0.00049

Measured 6d ago against content hash 5e1a44251b5e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

kb-clerk-com 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 6d 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/kb-clerk-com/SKILL.md · 39 lines

What it actually says

Swimming in this map

137 entities around clerk.com (a user management and authentication platform providing embeddable ui components, apis, and backend services for web and mobile applications), every one carrying its evidence. You never need the app that built this — the files are the database.

Recipes

Battlecard (top rivals): read relations/competitor.md. For each rival open entities/<key>.md: the what is the pitch, the why is the evidence for the rivalry, the receipts are quotable verbatim. 42 competitors here.

Ecosystem overview: read README.md then every file in segments/ — the market's structure from provenance, with straddlers marked (entities legitimately in two segments are often the most strategically interesting).

Why is X on this map: open entities/<key>.md — the route line says which market lane surfaced it and how it stands to clerk.com; the edges are wikilinks you can follow; the receipts are the proof.

Who buys / where they argue: relations/discusses.md → the community entities.

Search: grep entities/ frontmatter (relation:, segment:) — it is the index. manifest.json has every key for programmatic access.

Trust rules (measured, not disclaimers)

  • Receipts prove provenance, not support: the quote is verbatim from the entity's own fetched page; that it supports the description is the model's claim, metered by descGrounded (a relative drift meter — 0.68 is a normal honest score, not 68% true).
  • This run recorded no evidence tiers, so the relation lists are alphabetical, not ranked. Weight a row by its receipts, not its position.
  • Never repeat a why about an unfamiliar entity as established fact — quote its receipt or go fetch its page.
Files

What ships with it

60 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. 6d ago First seen · 39 lines · 70 tokens per session scan A 5e1a44251b5e

Subscribe to this mod's changes

kb-clerk-com is a skill published in the GitHub repository mo-root/open-kb (11 stars, last pushed today), licensed MIT. It adds 70 tokens to every session and 495 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 2026-08-30.

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