seeklink AGENTS.md

A set of instructions for AI coding agents working on the seeklink repository, including how to begin work, record current focus, and hand work over.

In plain words
What is it for?
Use it to check the current task, branch, status, verification commands, and handoff notes before and after coding.
Why use it?
It keeps important project state in repository files and git history instead of relying on chat context or private notes.

Instructions file for CodexOpenCode

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

Made for: Codex, OpenCode.

Per session 1,484 This file is loaded in full into every session.
When invoked 1,484 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 $0.01484 $0.01484
Opus 5 $0.00742 $0.00742
Sonnet 5 $0.00297 $0.00297
Haiku 4.5 $0.00148 $0.00148

Measured 2d ago against content hash c56361cb4a80, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

seeklink 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 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.

AGENTS.md · 237 lines

How it starts

The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Project conventions for AI coding agents

Core model

The source of truth is the repository and git history.

Sessions, chat context, local notes, and worktrees are convenience layers only. Important state must be recoverable from repo files or git history.

Keep this file short. Add rules only when they affect agent behavior or prevent repeated mistakes.

Start of session

Before editing:

  1. Read docs/current_focus.md if it exists.
  2. Check branch and git status.
  3. Identify relevant verification commands.
  4. For non-trivial changes, state the approach before writing code.

Do not rely on chat history as project memory.

Current focus

Use docs/current_focus.md for current work state only. Keep it under 30 lines.

It should contain:

  • current task;
  • branch;
  • next concrete step;
  • open questions;
  • verification commands;
  • at most the latest two handoff notes.

Rewrite stale content instead of appending indefinitely.

Handoff format:

Handoff (YYYY-MM-DD, Agent, branch)

Done: Open: Next: Status: <in progress / blocked / ready for review>

Do not create changelog, backlog, task tracker, memory, or per-agent state files unless explicitly requested.

History and decisions

Commit messages are the primary history layer.

Use commit bodies to explain why non-trivial changes were made.

Use docs/decisions.md only for decisions that remain active constraints on future work. Do not create it by default.

Decision docs are appropriate when a decision:

  • spans multiple commits or subsystems;
  • involves external context not visible in code;
  • prevents a recurring wrong choice;
  • affects public API, data model, deployment, security, or product behavior.

Do not mirror every commit into decision docs.

Agents may propose decision entries, but must not create or update long-lived decision records unless the human approves the decision text.

If docs/decisions.md grows beyond roughly 10 active decisions, propose moving to docs/decisions/YYYY-MM-DD-<slug>.md ADR files.

Read the full file on GitHub · 237 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. 2d ago First seen · 237 lines · 1,484 tokens per session scan A c56361cb4a80

Subscribe to this mod's changes

seeklink AGENTS.md is an instructions file published in the GitHub repository simonsysun/seeklink (11 stars, last pushed 2mo ago), licensed MIT. It adds 1,484 tokens to every session, about $0.0074 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.