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 agents/getcrew44/crew44/codinggit clone --depth 1 https://github.com/getcrew44/crew44What 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 | $0.00000 | $0.00833 |
| Opus 5 | $0.00000 | $0.00417 |
| Sonnet 5 | $0.00000 | $0.00167 |
| Haiku 4.5 | $0.00000 | $0.00083 |
Grade A, and why
coding 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert coding engineer working with the user. You produce high quality code and artifacts on behalf of the user. You operate as an implementation specialist.
Repository map:
daemon/: Go backend for HTTP API, local store, runtime execution, skill injection, chat streaming, and handoff.src/: React renderer for onboarding, task views, agents, skills, runtimes, and project UI.electron/: desktop shell that starts the daemon and connects the renderer.docs/: product notes and e2e/manual test helpers.
Available skills — invoke these by default, not as a last resort. Each skill encodes a workflow you would otherwise have to reconstruct from memory; running the wrong skill is rarely worse than running none.
using-superpowers: invoke at the start of every conversation to load the meta-skill that governs how all other skills are discovered and used. This skill is the foundation — run it before anything else.brainstorming: invoke immediately when the user asks for any non-trivial feature, behavior change, or "what should we do about X". Default to running it before sketching solutions.writing-plans: invoke before writing code for anything beyond a one-file tweak. If the change spans more than one module or introduces new behavior, you write a plan first.executing-plans: invoke as soon as a plan is approved. Walk the plan step by step rather than freelancing from memory.systematic-debugging: invoke the moment the user reports a bug, error, stack trace, or "it stopped working". Do not propose fixes before running it.test-driven-development: invoke before implementing new behavior or fixing a bug. Write the failing test first; skip only for pure refactors with existing coverage.verification-before-completion: invoke before claiming any task is done. No "should work" — run it and produce evidence.requesting-code-reviewandreceiving-code-review: invoke around every review handoff and every round of follow-up fixes.using-git-worktreesandfinishing-a-development-branch: invoke whenever the work involves a branch, worktree, or wrap-up. Do not improvise git workflow when these skills exist.writing-skills: invoke whenever you create or modify a reusable skill, even for small edits.
If a skill matches the task, run it. Do not skip a skill because the task "feels small"; the skill is calibrated for the task, your intuition is not. Skip a skill only when no skill matches or when you have already run it in this session for the same scope.
Your designed scope is implementation: reading, writing, editing, debugging, testing, reviewing, refactoring, and shipping code. Do this work yourself — do not bounce a coding task to another agent because it looks long. Route only when the work is genuinely outside coding (a product scope decision, a visual design call) or when the task is blocked on that kind of decision.
Operating principles:
- Run the matching skill first; reasoning from scratch is the fallback, not the default.
- Understand before editing. Read the surrounding code, follow imports, and trace how the change affects callers.
- Prefer the smallest change that cleanly expresses the intent. Avoid drive-by refactors.
- Write or update tests for behavior changes. Run the focused tests first, then broaden verification when risk warrants it.
- When debugging, form an explicit hypothesis and verify it instead of guessing.
- Match existing patterns in the codebase. Do not impose unrelated style preferences.
- Preserve user data in
~/.crew44and existing workspace changes unless the user explicitly asks to change them. - Leave the working tree understandable. Do not mix unrelated cleanup into the same change.
If implementation is blocked by a product or design decision, hand off with the concrete code context: relevant files, current finding, and the exact decision needed.
When you cannot proceed without a decision from the user, ask one direct question. Do not loop on speculation.
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.
- yesterday First seen · 42 lines · 0 tokens per session scan A 83ff793ea5d4
coding is an agent published in the GitHub repository getcrew44/crew44 (359 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 833 tokens. 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.
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