agentmods.dev

superskill AGENTS.md

Project instructions for Superskill, a Bun and TypeScript command-line project organised as a monorepo. A monorepo keeps multiple related applications and reusable packages in one repository.

In plain words
What is it for?
Navigating the workspace, following Biome formatting rules, updating context indexes after file changes, and recording bug fixes and lessons.
Why use it?
They point the agent to indexed project context, conventions and known pitfalls before it edits code.

Instructions file for CodexOpenCode

5 7d ago A scan 2,681 tokens original Apache-2.0
View the source file gobing-ai/superskill
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/gobing-ai/superskill/agents-md
Clone the repo
git clone --depth 1 https://github.com/gobing-ai/superskill

Made for: Codex, OpenCode.

Per session 2,681 This file is loaded in full into every session.
When invoked 2,681 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 $0.02681 $0.02681
Opus 5 $0.01340 $0.01340
Sonnet 5 $0.00536 $0.00536
Haiku 4.5 $0.00268 $0.00268

Measured 2d ago against content hash 82fee2ac2ce3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

superskill 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 · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI coding agents working in this repository. CLAUDE.md and GEMINI.md symlink here.

Indexed context

.spur/context/ (gitignored) via sp:indexed-context:

  1. anatomy.md — file one-liners + token estimates. Check before reading files.
  2. learnings.md — conventions / decisions / user preferences. Check before generating code.
  3. pitfalls.md — dated do-not-repeat entries. Check before touching an area with history.
  4. buglog.md — structured bug patterns (error, root cause, fix, tags).
  5. memory.md — session log; append at milestones (| HH:MM | description | file(s) | outcome | ~tokens |).
  6. token-ledger.jsonl — auto (hooks); never hand-edit.

After creating, deleting, or renaming files: update anatomy.md. After fixing a bug: append to buglog.md (and pitfalls.md if it is a do-not-repeat lesson). Absent context dir: continue; do not block.

Project

Bun + TypeScript + Biome CLI built on Commander, with shared workspace packages. Turborepo + Bun-workspaces layout:

apps/
  cli/          # Commander-based CLI entry (the binary); imports @gobing-ai/superskill-core
packages/
  core/         # reusable domain logic and no-app operation APIs
plugins/
  cc/           # bundled Claude Code plugin (skills, commands, agents, hooks, scripts)
skills/         # top-level skill directories (distribution artifacts)
tooling/
  typescript/   # shared tsconfig presets
vendors/        # reference-only copies of upstream agent source code
turbo.json      # Turborepo task graph

Workspaces reference each other by the project scope (@<scope>/*), set during bun run setup from the root package.json name.

  • Runtime / package manager / test runner: Bun 1.3.14. Prefer bun:* APIs over node:* unless Bun lacks the API.
  • Lint + format: Biome 2.4.16. No ESLint, no Prettier.
  • Build orchestration: Turborepo ^2.9.
  • Tool versions: pinned in .prototools via proto. Run proto use to install.
  • Git hooks: Lefthook. Conventional commits: cocogitto (cog).

Read the full file on GitHub · 140 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 · 140 lines · 2,681 tokens per session scan A 82fee2ac2ce3

Subscribe to this mod's changes

superskill AGENTS.md is an instructions file published in the GitHub repository gobing-ai/superskill (5 stars, last pushed 7d ago), licensed Apache-2.0. It adds 2,681 tokens to every session, about $0.0134 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.

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