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.
npx agentmods add instructions/bleedmode/dearuser/claude-mdgit clone --depth 1 https://github.com/bleedmode/dearuserWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.01459 | $0.01459 |
| Opus 5 | $0.00730 | $0.00730 |
| Sonnet 5 | $0.00292 | $0.00292 |
| Haiku 4.5 | $0.00146 | $0.00146 |
Grade A, and why
dearuser 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dear User — project-wide notes
Globale regler i ~/.claude/CLAUDE.md. MCP-internt i mcp/CLAUDE.md. Her ligger learnings der gælder Dear User-produktet på tværs.
Produkt-scope
Menneske↔agent samarbejdsanalyse. Kører lokalt, ingen data forlader maskinen. Live: dearuser.ai. Lokal DB: ~/.dearuser/dearuser.db (SQLite, 6 tabeller: du_migrations, du_agent_runs, du_recommendations, du_score_history, du_findings, du_finding_events — auto-oprettes).
Scope: Diagnose + feedback loop. IKKE task management, research eller dashboard — det er PVS OS.
Slash-command ↔ MCP-tool mapping
/dearuser-collab→mcp__dearuser__collab/dearuser-health→mcp__dearuser__health/dearuser-security→mcp__dearuser__security/dearuser-wrapped→mcp__dearuser__wrapped/dearuser-onboard→mcp__dearuser__onboard/dearuser-history→mcp__dearuser__history/dearuser-help→mcp__dearuser__help/dearuser-feedback→mcp__dearuser__feedback
Wrapped can be shared publicly via mcp__dearuser__share_report — handled from within the wrapped flow, not a separate slash-command. Collab/health/security reports are local-only.
Dashboard: http://localhost:7700 — Config: ~/.dearuser/config.json
Lessons fra Dear User-udvikling
MCP tool descriptions har 2000-char hard cap (test-enforced)
mcp/src/tool-descriptions.test.ts enforcer length <= 2000 per tool. Flere af descriptions ligger få chars under grænsen — health-tool var 1998/2000 da vi ramte den 2026-04-27.
Why: Anthropic-registry og MCP-clients viser fuld description; lang copy bliver upraktisk for både agent-discovery og humans. Test fanger drift.
How to apply: før du tilføjer copy til en eksisterende tool description, mål nuværende length først:
node -e "const m = require('fs').readFileSync('src/index.ts','utf8').match(/server\.tool\(\s*'<name>',\s*\`([^\`]+)\`/); console.log(m[1].length)"
Hvis margin <50 chars: trim eksisterende inden du adderer. Foretrukne trim-targets er Examples: (lavt info-tab) og redundans i Behavior ↔ What this tool does NOT do.
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.
- 2d ago First seen · 84 lines · 1,459 tokens per session scan A 0d5c934704b3
dearuser CLAUDE.md is an instructions file published in the GitHub repository bleedmode/dearuser (0 stars, last pushed 26d ago), licensed MIT. It adds 1,459 tokens to every session, about $0.0073 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.
Other instructions, from other repositories
open-pencil copilot-instructions.md
Copilot instructions for open-pencil/open-pencil, covering openpencil copilot instructions, pull request requirements, validation and code conventions.
llm-context.py CLAUDE.md
Instructions for cyberchitta/llm-context.py, covering claude.md, working notes (gitignored) and draining the field notes.
Kiln AGENTS.md
AGENTS.md instructions for Kiln-AI/Kiln, covering project overview, project goals, tech stack, agent tools and agent prompts.
rag-code-mcp copilot-instructions.md
Instructions for doITmagic/rag-code-mcp, covering copilot instructions - ragcode mcp, ⚖️ the golden rule, project overview, architecture & patterns and developer workflows.
powerbi-mcp CLAUDE.md
Instructions for sulaiman013/powerbi-mcp, covering claude.md and developer notes.
claude-faf-mcp CLAUDE.md
Instructions for Wolfe-Jam/claude-faf-mcp, covering claude.md — claude-faf-mcp, what this is, stack and context.