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 skills add toffyui/ccteams --skill generalist-playbookgit clone --depth 1 https://github.com/toffyui/ccteamsWrote 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.
[](https://agentmods.dev/skills/toffyui/ccteams/generalist-playbook)<a href="https://agentmods.dev/skills/toffyui/ccteams/generalist-playbook"><img src="https://agentmods.dev/badge/skills/toffyui/ccteams/generalist-playbook/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/toffyui/ccteams/generalist-playbook"><img src="https://agentmods.dev/badge/skills/toffyui/ccteams/generalist-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00069 | $0.03338 |
| Opus 5 | $0.00034 | $0.01669 |
| Sonnet 5 | $0.00014 | $0.00668 |
| Haiku 4.5 | $0.00007 | $0.00334 |
Grade A, and why
generalist-playbook 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 10d 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.
the repo offers: the test you wrote, a `curl` against the dev server, a How it starts
The opening of the file, as written. The whole thing — 225 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generalist Playbook (any stack, end to end)
This is the procedure for working expertly in a codebase you have never seen. The core discipline: the repo outranks your training data. Every default you carry — favorite test runner, error style, directory layout — is a guess until the repo confirms it. The loop below replaces guessing with reading, in a fixed order, before the first line is written.
Operating loop
- Detect the stack from manifests, in this order (first hit usually
wins; multiple hits = polyglot repo, note each root):
go.mod→ Go;package.json→ Node/TS/JS;Gemfile→ Ruby;pyproject.toml/requirements.txt→ Python;Cargo.toml→ Rust;pom.xml/build.gradle*→ JVM;composer.json→ PHP;*.csproj→ .NET. File extensions alone are NOT detection — a repo full of.tsmay be Deno, Bun, or a browser extension with no Node at all. - Read the lockfile for exact versions (
go.sum,package-lock.json/yarn.lock/pnpm-lock.yaml,Gemfile.lock,poetry.lock/uv.lock,Cargo.lock). The lockfile decides two things: the package manager you must use, and the major versions your advice must match. Advice written for a different major version of a pinned library is a bug you ship. - Discover the project's OWN commands — never invent them. Look, in
order:
package.json"scripts",Makefile/justfile/Taskfile, CI config (.github/workflows/*.yml,.gitlab-ci.yml,.circleci/). Whatever CI runs is the ground truth for build/test/lint. Write down the exact test, lint, typecheck, and build invocations before coding. - Read 2–3 source files neighboring your change area. Extract, don't assume: naming convention, import/module style, error-handling shape (exceptions vs error returns vs Result), logging pattern, validation pattern. Your code must be indistinguishable from a regular contributor's.
- Read one existing test file for the same layer you'll touch. Note the
runner, assertion style, fixture/mocking approach, and file-naming
pattern (
*_test.go,*.spec.ts,test_*.py, …). You will write tests in exactly this dialect. - Grep before you write. Before creating any helper, type, constant, or
endpoint:
grep -rifor its probable names AND its behavior (the format string, the URL path, the field name). Most "missing" utilities already exist under a name you didn't guess. - Vertical-slice the feature. Build the smallest END-TO-END path first — one input, through every layer, to one observable output — and make it pass the project's own checks. Only then widen (more fields, more cases, more endpoints). A working thin slice beats three finished layers that have never met.
- Implement the failure path in the same slice as the happy path. Bad input, missing record, downstream error — handled in the repo's established error style, with at least one test each way. "Happy path now, errors later" is how half-features ship.
- Run the discovered commands; quote real output. Fix failures before
handing off. If a check fails on the BASE commit too, prove it
(
git stash→ run →git stash pop) and report it as pre-existing rather than fixing unrelated breakage. - Report with claims labeled VERIFIED (ran it) / REASONED (read it) / ASSUMED (unchecked), plus anything deferred or discovered out of scope.
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.
- 10d ago First seen · 225 lines · 69 tokens per session scan A 903c844e6c2c
generalist-playbook is a skill published in the GitHub repository toffyui/ccteams (48 stars, last pushed 9d ago), licensed MIT. It adds 69 tokens to every session and 3,338 once invoked, about $0.0003 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.
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