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 Mallikarjun-Roddannavar/playwright-agentic-automation --skill codebase-second-braingit clone --depth 1 https://github.com/Mallikarjun-Roddannavar/playwright-agentic-automationWrote 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/mallikarjun-roddannavar/playwright-agentic-automation/codebase-second-brain)<a href="https://agentmods.dev/skills/mallikarjun-roddannavar/playwright-agentic-automation/codebase-second-brain"><img src="https://agentmods.dev/badge/skills/mallikarjun-roddannavar/playwright-agentic-automation/codebase-second-brain/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/mallikarjun-roddannavar/playwright-agentic-automation/codebase-second-brain"><img src="https://agentmods.dev/badge/skills/mallikarjun-roddannavar/playwright-agentic-automation/codebase-second-brain.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 | $0.00035 | $0.00304 |
| Opus 5.5 | $0.00014 | $0.00122 |
| Sonnet 5.5 | $0.00007 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
codebase-second-brain 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 16d 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.
What it actually says
Codebase Second Brain
Use this skill for questions about how a feature works, what its tests check, missing coverage, architecture, or maintaining project notes. Users can ask naturally without naming files or commands.
Read and explain
- Start at project knowledge and open the relevant feature note or architecture note.
- Follow its source links. Confirm the concrete UI/API flow and test assertions; a matching filename is not enough.
- Explain requirements, current implementation, and coverage gaps separately. Report test execution only when it actually occurred.
- If a note and source disagree, describe the mismatch. Do not turn observed behavior into a new business rule.
No knowledge command or generated index is required. Use the UI/API owning skill if the task also calls for implementation changes.
Update notes
When authorized to change behavior or documentation, update the affected feature note with useful source links and actual assertion coverage. Keep the existing requirement IDs and unresolved questions. Update architecture only when shared structure changes and decisions only when a meaningful design choice changes.
Keep raw new requirements in requirements/incoming/. Place new business interpretations in a Pending review section of the feature note and obtain user confirmation before treating them as requirements. Ordinary source-backed documentation updates need no promotion process.
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.
- 16d ago Changed · -235 lines · -37 tokens per session 15ed87cb3b6f
- 1mo ago First seen · 259 lines · 72 tokens per session scan A d43168cf4e62
codebase-second-brain is a skill published in the GitHub repository Mallikarjun-Roddannavar/playwright-agentic-automation (13 stars, last pushed 17d ago), licensed MIT. It adds 35 tokens to every session and 304 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 2026-08-31.
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