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/mtvrkan/senior-dev-kit/deep-researchnpx skills add mtvrkan/senior-dev-kit --skill deep-researchgit clone --depth 1 https://github.com/mtvrkan/senior-dev-kitWrote 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/mtvrkan/senior-dev-kit/deep-research)<a href="https://agentmods.dev/skills/mtvrkan/senior-dev-kit/deep-research"><img src="https://agentmods.dev/badge/skills/mtvrkan/senior-dev-kit/deep-research.svg" alt="Measured on agentmods" 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 | $0.00297 |
| Opus 5 | $0.00017 | $0.00148 |
| Sonnet 5 | $0.00007 | $0.00059 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
deep-research 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 6d 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
deep-research
Research question: $ARGUMENTS or derive from context.
- Clarify the question in one sentence; break into sub-questions if ambiguous. Fan out — search 3+ different angles or phrasings.
- Fetch and read primary sources directly — don't rely on search snippet summaries. Cross-verify key claims across 2+ independent sources.
- Cite every factual claim with its source (URL/doc name). Mark unverified/single-source claims [UNVERIFIED]. Never fabricate sources, stats, or quotes — note contradictions explicitly. Prefer primary sources over blogs.
Output
RESEARCH QUESTION: [one sentence] | SOURCES CONSULTED: [numbered list with URLs] KEY FINDINGS: [N. finding — citation] | CONTRADICTIONS / GAPS: [if any] SUMMARY: [3-5 sentences] | CONFIDENCE: high | medium | low [reason]
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.
- 6d ago First seen · 25 lines · 35 tokens per session scan A 8df0d38dddf5
deep-research is a skill published in the GitHub repository mtvrkan/senior-dev-kit (5 stars, last pushed 5d ago), licensed MIT. It adds 35 tokens to every session and 297 once invoked, about $0.0002 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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