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 aidi1723/safe-agent-skills --skill engineering-codebase-onboarding-reviewgit clone --depth 1 https://github.com/aidi1723/safe-agent-skillsWrote 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/aidi1723/safe-agent-skills/engineering-codebase-onboarding-review)<a href="https://agentmods.dev/skills/aidi1723/safe-agent-skills/engineering-codebase-onboarding-review"><img src="https://agentmods.dev/badge/skills/aidi1723/safe-agent-skills/engineering-codebase-onboarding-review/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/aidi1723/safe-agent-skills/engineering-codebase-onboarding-review"><img src="https://agentmods.dev/badge/skills/aidi1723/safe-agent-skills/engineering-codebase-onboarding-review.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 | $0.00032 | $0.00351 |
| Opus 5.5 | $0.00013 | $0.00140 |
| Sonnet 5.5 | $0.00006 | $0.00070 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
engineering-codebase-onboarding-review 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 2mo 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.
This is a copy
75% identical to business-code-to-prd-review — 18 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Codebase Onboarding Review
When To Use
Use this draft when reviewing the codebase-onboarding metadata-only
candidate from claude-skills before deciding whether to author a local
OneCode skill, merge it into an existing skill, or keep it reference-only.
Safe Workflow
- Identify the task, audience, owner, source domain, target catalog category, and expected artifact.
- Compare the candidate with existing trusted Safe-Agent-Skills to avoid duplicate or overlapping guidance.
- Draft local OneCode guidance from project requirements and operator review; do not copy upstream skill bodies.
- Check provenance, license notes, runtime permissions, and connector assumptions before import.
- Produce an adoption recommendation only; Do not execute upstream content or mark this draft trusted.
Expected Output
- metadata-only candidate summary
- overlap and merge recommendation
- local authoring notes
- required verifier checklist
- adoption decision: convert, merge, keep reference-only, or reject
Verifier Expectations
- metadata-only boundary check
- duplicate skill check
- provenance and license check
- import, serial approval, schema-check, maintain-check, and verify before trust
Draft Metadata
- upstream candidate:
codebase-onboarding - source domain:
engineering - source path:
engineering/skills/codebase-onboarding - mapped category:
engineering - score:
54 - priority:
P3 - adoption before draft:
reference_only
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2mo ago First seen · 51 lines · 32 tokens per session scan A 352fc97b8096
engineering-codebase-onboarding-review is a skill published in the GitHub repository aidi1723/safe-agent-skills (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 351 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 75% identical to business-code-to-prd-review, differing in 18 lines, and is treated as a copy.
engineering-codebase-onboarding-review compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| engineering-codebase-onboarding-reviewaidi1723/safe-agent-skills | Skill | 1 | 1mo ago | Apache-2.0 | A | 32 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |