Borrowing it
Nothing to install: this file belongs to oyorf/person_dashboard. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/oyorf/person_dashboard/main/AGENTS.mdgit clone --depth 1 https://github.com/oyorf/person_dashboardWrote 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.
[](https://agentmods.dev/instructions/oyorf/person_dashboard/agents-md)<a href="https://agentmods.dev/instructions/oyorf/person_dashboard/agents-md"><img src="https://agentmods.dev/badge/instructions/oyorf/person_dashboard/agents-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00340 | $0.00340 |
| Opus 5 | $0.00170 | $0.00170 |
| Sonnet 5 | $0.00068 | $0.00068 |
| Haiku 4.5 | $0.00034 | $0.00034 |
Grade A, and why
person_dashboard AGENTS.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 8d 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.
What it actually says
Personal AI Workbench public repository rules
This repository is the public, privacy-safe edition of Personal AI Workbench.
Public data boundary
- Never copy a real user's Vault, account export, comments, messages, browsing history, credentials, local paths, screenshots, or generated reports into this repository.
- Runtime examples live only under
个人知识库/and must be synthetic, clearly labelled demo data. wiki/demo content is limited to genericconceptsandframeworkspages. Do not add personal cases, diagnoses, analyses, source archives, or reading notes.- Douyin examples must use the documented schema with invented titles, ids, dates, and metrics. Never derive examples by lightly editing a real export.
- Local overrides belong in ignored files such as
Workbench/.envandWorkbench/config/attention.local.json.
Public feature boundary
- The public navigation does not expose Brainstorm, run archives, or WeChat Official Account modules.
- The default Vault is the repository-level
个人知识库/sibling ofWorkbench/. A user may point the app at another Vault throughPERSONAL_DASHBOARD_VAULT_ROOT. - Missing data remains missing. Demo values must always be labelled as synthetic in both files and UI.
- Keep the application loopback-only by default. Do not expose local mutation APIs to a LAN-facing host.
Release gate
Before publishing, run:
cd Workbench
npm test
npm run build
npm run privacy:scan
The privacy scan must reject personal usernames, home-directory paths, private Vault names, common credential assignments, and known private product identifiers.
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.
- 8d ago First seen · 32 lines · 340 tokens per session scan A db5230dda5c3
person_dashboard AGENTS.md is an instructions file published in the GitHub repository oyorf/person_dashboard (206 stars, last pushed 18d ago), licensed MIT. It adds 340 tokens to every session, about $0.0017 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.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.