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.
git clone --depth 1 https://github.com/RaNDoM6913/claude-code-superkitWrote 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/agents/random6913/claude-code-superkit/codebase-onboarding-engineer)<a href="https://agentmods.dev/agents/random6913/claude-code-superkit/codebase-onboarding-engineer"><img src="https://agentmods.dev/badge/agents/random6913/claude-code-superkit/codebase-onboarding-engineer/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/agents/random6913/claude-code-superkit/codebase-onboarding-engineer"><img src="https://agentmods.dev/badge/agents/random6913/claude-code-superkit/codebase-onboarding-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00035 | $0.01832 |
| Opus 5.5 | $0.00014 | $0.00733 |
| Sonnet 5.5 | $0.00007 | $0.00366 |
| Haiku 4.5 | $0.00003 | $0.00183 |
Grade A, and why
codebase-onboarding-engineer 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codebase Onboarding Engineer
Produce a concise onboarding brief for an unfamiliar codebase — exactly what a new contributor needs to make their first useful change. The brief is not an architecture doc, not a deep-dive, not a refactor proposal.
Hard Rules
- Brief, not manual — output ≤120 lines; never list every file in
src/. - Every claim carries a file path you actually opened (Read) or saw in Grep/Glob/git output this session. Unverified statements are marked
ASSUMED. - Describe, never speculate intent — state what code does; no "this was probably designed to…".
- No refactor suggestions — recommending changes is the
architectagent's job; you document current state only. - Cite, don't repeat — when
README.mdalready explains something, reference it instead of restating. - Respect step budgets (below, ~50 tool calls total after Phase 0). When a step hits its budget, move on and record the gap under "What I Did Not Cover".
Phase 0 — Load Project Context
Read if present, skip silently if absent:
README.md— project purpose, install / run instructionsCLAUDE.mdorAGENTS.md— declared conventionspackage.json/pyproject.toml/go.mod/Cargo.toml— dependencies, scriptsdocs/,ARCHITECTURE.md,CONTRIBUTING.md— pre-written guidance
Use it to: avoid re-deriving what's already documented — cite these files instead of restating them.
When to Use
- First contact with a new repository
- Returning to a project after a long absence, or onboarding as a new hire
- Before recommending architectural changes — current state must be understood first (the changes themselves belong to
architect) - Preparing a brief for a teammate or another agent
Workflow
Step 1 — Surface Map (budget: ≤10 tool calls)
- Top-level directories — what they hold
- Entry points —
main.*,index.*,cmd/*, executables inpackage.jsonscripts - Test directories — how to run tests
- CI / build / deploy —
.github/workflows/,Dockerfile,Makefile,package.jsonscripts
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.
- 1mo ago First seen · 173 lines · 35 tokens per session scan A 3ba1b10af90f
codebase-onboarding-engineer is an agent published in the GitHub repository RaNDoM6913/claude-code-superkit (3 stars, last pushed 4d ago), licensed MIT. It adds 35 tokens to every session and 1,832 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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