Borrowing it
Nothing to install: this file belongs to MaxMiksa/Auto-Company. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MaxMiksa/Auto-Company/main/.claude/skills/deep-research/SKILL.mdgit clone --depth 1 https://github.com/MaxMiksa/Auto-CompanyWrote 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/maxmiksa/auto-company/deep-research)<a href="https://agentmods.dev/skills/maxmiksa/auto-company/deep-research"><img src="https://agentmods.dev/badge/skills/maxmiksa/auto-company/deep-research/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/maxmiksa/auto-company/deep-research"><img src="https://agentmods.dev/badge/skills/maxmiksa/auto-company/deep-research.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 | $0.00088 | $0.08103 |
| Opus 5 | $0.00044 | $0.04052 |
| Sonnet 5 | $0.00018 | $0.01621 |
| Haiku 4.5 | $0.00009 | $0.00810 |
Grade C, and why
deep-research scanned grade C with 1 finding 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 9d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- All static instructions, methodology, and templates below this line --> The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
20 files 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.
- .gitignore 248 B
- ARCHITECTURE_REVIEW.md 15 KB
- AUTONOMY_VERIFICATION.md 12 KB
- COMPETITIVE_ANALYSIS.md 6.0 KB
- CONTEXT_OPTIMIZATION.md 7.4 KB
- QUICK_START.md 4.9 KB
- reference/methodology.md 14 KB
- requirements.txt 454 B
- scripts/citation_manager.py 5.9 KB runs code
- scripts/md_to_html.py 9.7 KB runs code
- scripts/research_engine.py 16 KB runs code
- scripts/source_evaluator.py 9.3 KB runs code
- scripts/validate_report.py 12 KB runs code
- scripts/verify_citations.py 15 KB runs code
- scripts/verify_html.py 7.6 KB runs code
- templates/mckinsey_report_template.html 10 KB
- templates/report_template.md 13 KB
- tests/fixtures/invalid_report.md 288 B
- tests/fixtures/valid_report.md 3.3 KB
- WORD_PRECISION_AUDIT.md 13 KB
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.
- 9d ago First seen · 857 lines · 88 tokens per session scan C af533b36012a
deep-research is a skill published in the GitHub repository MaxMiksa/Auto-Company (2,942 stars, last pushed 3mo ago), with no licence file. It adds 88 tokens to every session and 8,103 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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