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 skills/shivaedev/pardes/investigate-codebasenpx skills add ShivaeDev/pardes --skill investigate-codebasegit clone --depth 1 https://github.com/ShivaeDev/pardesWhat 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 | $0.00050 | $0.00332 |
| Opus 5 | $0.00025 | $0.00166 |
| Sonnet 5 | $0.00010 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
investigate-codebase 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 2d 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
Investigate Codebase
Gather evidence before choosing a change. Keep the manager on synthesis and delegate codebase reading to focused explorers.
Workflow
- State the question, known symptoms, and important unknowns.
- Split the investigation into distinct evidence-gathering angles.
- Spawn focused read-only
exploreragents for the distinct questions. Use multiple explorers when the questions are independent. - When explorer output becomes the blocker, call
wait_agentwith all unresolved explorer IDs and a900000ms timeout. Treat an ordinary timeout as "still working": wait again with a long timeout instead of short-polling or narrating routine status. - Synthesize findings, separating observed facts from hypotheses.
- Return the synthesis to
drive-workstreamfor user discussion and scope approval. Record discovered fixes as candidate follow-ups; do not implement them during investigation.
Explorer Briefs
Give each explorer one bounded question. Ask for file references, relevant commands or logs, verified observations, uncertainties, and a concise report. Do not send multiple explorers over the same surface.
Output
Report:
- problem statement
- verified observations
- likely causes or relevant architecture
- contradictions and unknowns
- candidate fixes or slices
- recommended scope and PR sequence
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.
- 2d ago First seen · 42 lines · 50 tokens per session scan A 3345ba13bd1f
investigate-codebase is a skill published in the GitHub repository ShivaeDev/pardes (5 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 332 once invoked, about $0.0003 per session on Opus 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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