harborclerk AGENTS.md

harborclerk AGENTS.md is an instructions file for Codex, OpenCode from r0shi/harborclerk. It costs 2,154 tokens per session, scanned A, original, MIT.

Project instructions for Harbor Clerk, a local document system that extracts text, reads scanned pages with OCR, searches documents, and answers questions with cited passages. It can also expose those retrieved passages to other AI tools through MCP, a standard tool-connection protocol.

In plain words
What is it for?
Developing and reviewing document extraction, OCR, search, cited answers, research, MCP access, and the matching command-line interface.
Why use it?
It defines rules for protecting source documents and limiting outside access to read-only excerpts instead of allowing full document exports.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

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/r0shi/harborclerk/agents-md
Clone the repo
git clone --depth 1 https://github.com/r0shi/harborclerk

Made for: Codex, OpenCode.

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 harborclerk AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/r0shi/harborclerk/agents-md.svg)](https://agentmods.dev/instructions/r0shi/harborclerk/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/r0shi/harborclerk/agents-md"><img src="https://agentmods.dev/badge/instructions/r0shi/harborclerk/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,154 This file is loaded in full into every session.
When invoked 2,154 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 5.1 $0.02154 $0.02154
Opus 5 $0.01077 $0.01077
Sonnet 5 $0.00431 $0.00431
Haiku 4.5 $0.00215 $0.00215

Measured 5d ago against content hash a25705531397, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

harborclerk 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 5d 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.

AGENTS.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Operating rules for any agent or human working in this repository. Rules here are binding. Reference material — architecture, API surface, schema — lives elsewhere; see Map. On matters of fact, the code is authoritative and this file may be stale: trust the source and fix this file. On matters of rule, this file is authoritative.

What this is

Harbor Clerk is a single-tenant, local-first document intelligence system: local extraction, OCR (eng/fra), hybrid retrieval with reranking, cited local-AI answers, and Research. It runs as a Mac-native app or via Docker Compose, and exposes the corpus to external agents through an MCP server and a mirrored CLI.

Non-negotiables

  • Single-tenant. No tenant_id in schema, API, or code. Ever.
  • Read-only external access. API keys are read-only and stored hashed.
  • Snippets, not corpus. MCP/CLI callers receive retrieved passages and citations — never a bulk corpus export.
  • Never modify a source. Watched-folder files are never altered, copied, or moved. Mailboxes are read-only (IMAP EXAMINE; read-only OAuth scopes when OAuth lands) — never marked read, never deleted.
  • Copy only where the source requires it. Watched-folder documents are read in place from source_path. IMAP is the deliberate exception: messages and attachments must be fetched and stored, because there is no file to reference.
  • All results carry citations. Every retrieval surface returns sources.
  • Tika is required for PDF/Office/eBook/HTML/email extraction.
  • Never commit credentials. Passwords, API keys, JWTs, or tokens supplied in conversation never enter a file, regardless of stated intent.
  • Strategy stays private. Positioning, competitive analysis, claim posture, and candid assessment live in docs/strategy/ (a separate private repo), never here.

Working agreement

  • Branch first. Create a feature branch before any change, including docs. Never commit to main. Do this from the start, not retroactively.
  • PR always. Every change lands via PR, even docs-only. Branch protection is enforced.
  • Never bypass the gate. No gh pr merge --admin, no direct push to main, without explicit human permission in the current conversation.
  • Verify before claiming done. Run the checks and read the output before saying anything passes. Evidence, then assertion.
  • Don't stack PRs. Land the base on main and branch again. A stacked branch once lost ~3,000 lines to a squash-merge of its base.
  • Regenerate docs after changing tools, routes, models, stages, or compose services: uv run python -m scripts.gen_docs. CI fails otherwise.
  • dependency-audit can fail on an unrelated PR. It audits the whole environment against live advisory databases, so a newly-published CVE turns it red on a change that touched nothing relevant.

Read the full file on GitHub · 172 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. 5d ago First seen · 172 lines · 2,154 tokens per session scan A a25705531397

Subscribe to this mod's changes

harborclerk AGENTS.md is an instructions file published in the GitHub repository r0shi/harborclerk (2 stars, last pushed 2d ago), licensed MIT. It adds 2,154 tokens to every session, about $0.0108 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.

Related

Other instructions, from other repositories