percept CLAUDE.md

percept CLAUDE.md is an instructions file for coding agents from perceptdot/percept. It costs 2,885 tokens per session, scanned A, original, MIT.

A project instruction document for Claude Code agents working on the perceptdot software project. It defines required startup checks, project context, roles, and handoff steps.

In plain words
What is it for?
Use it to guide agents before and after tasks, including reading project documents, checking repository state, declaring work, saving outputs, and handing work to the next agent.
Why use it?
It gives multiple agents a shared process and background so they do not begin work without checking the relevant plans, priorities, and recent changes.

Instructions file

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 instructions/perceptdot/percept/claude-md
Clone the repo
git clone --depth 1 https://github.com/perceptdot/percept

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 percept CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/perceptdot/percept/claude-md.svg)](https://agentmods.dev/instructions/perceptdot/percept/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/perceptdot/percept/claude-md"><img src="https://agentmods.dev/badge/instructions/perceptdot/percept/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,885 This file is loaded in full into every session.
When invoked 2,885 The same file — it is already loaded in full.
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 $0.02885 $0.02885
Opus 5 $0.01443 $0.01443
Sonnet 5 $0.00577 $0.00577
Haiku 4.5 $0.00288 $0.00288

Measured 3d ago against content hash d75e5a04146a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

percept CLAUDE.md 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.

CLAUDE.md · 285 lines

How it starts

The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md · perceptdot

Claude Code 멀티에이전트 운영 지침서 모든 에이전트는 작업 시작 전 반드시 이 문서와 자신의 역할 문서를 읽는다.


🚨 Hook · 작업 시작 전 필수 체크리스트

모든 에이전트는 아래 순서를 반드시 따른다. 건너뛰면 작업 무효.

[HOOK: PRE_TASK]
1. 이 CLAUDE.md 전체 읽기
2. agents/{내 역할}.md 읽기 (공통) 또는 agents/extensions/{역할}.md (devrel/research)
3. docs/bizplan.md 관련 섹션 확인
4. memory/backlog.md 현재 우선순위 확인
5. 싱크 체크:
   - 데스크탑: git pull origin main + 원격 claude/* 브랜치 확인 → 있으면 머지
   - 모바일: docs/outputs/daily_{오늘}.md 최신 세션 확인 → 데스크탑 작업 파악
6. 작업 시작 선언: "## [에이전트명] 작업 시작 - {task} (모바일/데스크탑 Claude)"

작업 완료 후

[HOOK: POST_TASK]
1. 산출물을 docs/outputs/{날짜}_{에이전트명}.md 에 저장  ← 날짜 prefix 필수
2. 다음 에이전트에게 인수인계 내용 작성
3. 작업 완료 선언: "## [에이전트명] 작업 완료 - {결과 요약 3줄} (모바일/데스크탑 Claude, HH:MM KST)"

프로젝트 개요

  • 서비스명: perceptdot
  • 패키지명: @perceptdot/{서비스} (예: @perceptdot/ga4, @perceptdot/vercel)
  • 한 줄 정의: AI 에이전트에게 외부 서비스 지각 능력을 제공하고, ROI를 측정·보고하는 MCP 플랫폼
  • 고객 구조 (B2A2H): perceptdot → AI 에이전트 (추천) → 사람 (결제만)
  • 타겟 에이전트: MCP 클라이언트 전체 (Claude Code, Cursor, Windsurf, Cline 등)
  • 기술 스택: TypeScript (MCP 서버 + Hono 백엔드) + Python SDK (레이어 3)
  • 사업계획서: docs/bizplan.md 참조

B2A2H 모델 이해 (전 에이전트 필수 인지)

Business (perceptdot)
    ↓ MCP 서버 제공
Agent (Claude Code 등)
    ↓ "perceptdot 쓰면 토큰 47% 절감됩니다. 월 $19입니다. [결제링크]" 보고
Human (개발자/CEO)
    ↓ 클릭 → 결제
끝. 사람은 이해 안 해도 됨.

모든 문서, 에러 메시지, UX는 에이전트가 주 독자. 사람이 읽기 불편해도 됨. 에이전트가 읽고 즉시 실행할 수 있으면 됨.


프로젝트 단계 (현재: 1단계 진입 준비)

0단계 ✅ — 아이디어 검증 + 사업계획 + 기술 스택 결정 (2026-03-19 완료)
1단계 🔄 — MVP: 첫 번째 MCP 서버 + ROI 측정
2단계     — npm 퍼블리시 + 얼리어답터 10명
3단계     — 유료화 (B2A2H 결제 플로우) + 에이전트 생태계 확장

폴더 구조

perceptdot/
├── CLAUDE.md                  ← 이 파일
├── IDEA.md                    ← 최초 아이디어 기록
├── docs/
│   ├── bizplan.md             ← 사업계획서
│   └── outputs/               ← 에이전트 산출물
├── memory/
│   ├── MEMORY.md
│   └── backlog.md
├── sdk/                       ← TypeScript MCP 서버 코드
│   └── @perceptdot/              ← 패키지 루트
└── scripts/

공통 에이전트: agents/{cpo,pm,dev,qa,growth}.md
perceptdot 전용: agents/extensions/{devrel,research}.md

Read the full file on GitHub · 285 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 · 285 lines · 2,885 tokens per session scan A d75e5a04146a

Subscribe to this mod's changes

percept CLAUDE.md is an instructions file published in the GitHub repository perceptdot/percept (1 stars, last pushed 2mo ago), licensed MIT. It adds 2,885 tokens to every session, about $0.0144 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 2026-08-31.

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