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/whyiyhw/seek/agents-mdgit clone --depth 1 https://github.com/whyiyhw/seekWhat 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 | $0.05225 | $0.05225 |
| Opus 5 | $0.02612 | $0.02612 |
| Sonnet 5 | $0.01045 | $0.01045 |
| Haiku 4.5 | $0.00522 | $0.00522 |
Grade A, and why
seek AGENTS.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Try alternative paths to the same answer.** webfetch returned garbage on an HTML page? Try a different URL form — raw GitHub (`https://raw.githubusercontent.com/...`), the API reference instead of the rendered doc, a Copies of this mod
1 near-identical copy found in the catalogue:
- seek CLAUDE.md — 86% identical, 32 lines differ
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
seek — project guide for AI assistants
This file is auto-loaded by seek at startup (and by other agent tools that follow the AGENTS.md convention). The canonical agent instructions for this repo live here. CLAUDE.md mirrors structural content for Claude Code; the two files are related but allowed to diverge where each agent's tooling differs (see AGENTS.md vs CLAUDE.md).
Treat the instructions below as mandatory project conventions.
Pitfall recording (load-bearing — read this)
When you fix a non-obvious bug, discover an undocumented API constraint, or find a surprising piece of behaviour:
- Append an entry to
docs/pitfalls.mdusing the template at the top of that file. Categorise it (TUI / DeepSeek API / Go / Tooling / etc.); keep it terse — symptom, root cause, fix, lesson, refs. - Add a
Pitfall: <one-line summary>trailer to the commit message. Multiple pitfalls in one commit = multiple trailers. - The trailer is what
scripts/extract-pitfalls.shreads — it's the redundant signal sodocs/pitfalls.mdcan be regenerated if it ever falls out of sync.
What counts as "non-obvious":
- A behaviour that surprised you (or the user) for more than a minute.
- An API contract that isn't documented in the obvious spot.
- A workaround for a tooling / classifier / sandbox limitation.
- A design constraint that, if forgotten, would be re-discovered painfully.
What does not count:
- Routine typos, missing imports, version bumps, refactors.
- Anything obvious from reading the code or running
go vet.
If you're not sure: log it. Cheap to add, expensive to recover from memory months later.
Architecture (non-negotiable)
- DeepSeek-first, two-tier providers.
pkg/deepseekis a first-class client with DeepSeek-specific fields (cache metadata, FIM endpoint, reasoner content).pkg/llmis a thin generic interface for second-tier providers (Anthropic / OpenAI / Gemini — landing in M6). pkg/deepseekmust not importpkg/llm(CI lint enforces this — see.github/workflows/ci.yml). The whole point of the split is that DeepSeek-specific optimisations don't get lowered into a generic interface.- Skill subsystem (v2): read-only loader in
internal/skill(Anthropic Agent Skills layout:<dir>/SKILL.md+ frontmatter); install/uninstall/update ininternal/skillmgr; call-stats JSONL ininternal/skillstats; shared CLI/TUI dispatcher ininternal/skillcli. Loader is the only path that runs at startup; everything else is on-demand. Never add filesystem writes under~/.seek/skills/outsideinternal/skillmgrandinternal/skillstats— those are the only two packages allowed to mutate user-level skill state. - Plan-mode subsystem (v2 + v2.x): confirmation-gated workflow
analyze → propose → execute → adjust → report. Driven by theproposetool (internal/tools/propose/) and progress-tracked by theplantool (internal/tools/plan/). Substate state machine lives inpermission.Policy(Mode / preApproved flag) + agent mode reminder + TUI status bar; transcript event-sourcing reconstructs state onseek -resume(seeplan/reconstruct.go). Plan-approval artifacts (write-once markdown snapshots) land in~/.seek/projects/<id>/plans/viaplan/artifact.go. Full design + status table indocs/prd/feature-plan-mode.md. - See
docs/prd/for the full PRD series: v0 initial, v1 Memory, v2 Skill lifecycle, plus standalone feature PRDs (feature-plan-mode.md,feature-webfetch.md,feature-permission-refactor.md,feature-active-memory.md,feature-mcp-client.md, …).
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 · 164 lines · 5,225 tokens per session scan A 876311534301
seek AGENTS.md is an instructions file published in the GitHub repository whyiyhw/seek (19 stars, last pushed 10d ago), licensed MIT. It adds 5,225 tokens to every session, about $0.0261 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
learn-harness-engineering CLAUDE.md
Instructions for walkinglabs/learn-harness-engineering, covering claude.md, project overview, commands, documentation site and run lecture code examples.
agnix AGENTS.md
AGENTS.md instructions for agent-sh/agnix, covering project memory: agnix, project instruction files, critical rules, architecture and crate dependency graph.
building-a-coding-agent-from-scratch-course AGENTS.md
Instructions for decodingai-magazine/building-a-coding-agent-from-scratch-course, covering decode, project structure, tech stack, docs & external services and running commands.
agnix typescript.instructions.md
Instructions for agent-sh/agnix, covering typescript instructions and guidelines.
agnix bad-exclude-agent.instructions.md
Instructions for agent-sh/agnix, a project described as: The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plugin for all major IDEs included, with autofixes.
agnix bad-frontmatter.instructions.md
Instructions for agent-sh/agnix, a project described as: The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plugin for all major IDEs included, with autofixes.