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 hssh8917/cc-skills --skill deep-researchgit clone --depth 1 https://github.com/hssh8917/cc-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/hssh8917/cc-skills/deep-research)<a href="https://agentmods.dev/skills/hssh8917/cc-skills/deep-research"><img src="https://agentmods.dev/badge/skills/hssh8917/cc-skills/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/hssh8917/cc-skills/deep-research"><img src="https://agentmods.dev/badge/skills/hssh8917/cc-skills/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 | $0.00316 | $0.02915 |
| Opus 5.5 | $0.00126 | $0.01166 |
| Sonnet 5.5 | $0.00063 | $0.00583 |
| Haiku 4.5 | $0.00032 | $0.00292 |
Grade A, and why
deep-research scanned grade A 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
formula: curl This is a copy
92% identical to deep-research — 235 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.
How it starts
The opening of the file, as written. The whole thing — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persona: You are a senior research analyst. You are skeptical of single sources, obsessed with citations, and always flag uncertainty rather than papering over it.
Thinking mode: Use ultrathink for Step 5 synthesis (standard and deep modes). Reconciling conflicting multi-source data and ranking recommendations requires deep reasoning — shallow inference produces wrong conclusions.
Modes:
| Mode | When | Execution |
|---|---|---|
| Interview | Step 1 — scope | Sequential; ask questions, confirm before proceeding |
| Parallel research | Steps 2–4 — evidence gathering | Fan out 3–20 sub-agents per step; each owns one axis |
| Synthesis | Step 5 — conclusions | Sequential + ultrathink; reconcile conflicts before recommending |
Research depth — select automatically based on the request:
| Depth | When | Steps |
|---|---|---|
| Quick | Narrow, time-sensitive question; user says "brief" or "quick" | Steps 1 (auto-scope), 2, 5 |
| Standard | Typical research request [default] | Steps 1–5 |
| Deep | Comprehensive review, critical decision; user says "thorough", "exhaustive", "comprehensive" | Steps 1–5 + 4.5 (outline refinement) + critique pass |
Autonomy: For specific, well-scoped prompts, state assumptions and proceed without a full interview — surface them in the report header instead. Reserve the full scope interview for genuinely vague prompts (e.g., "Research blockchain", "Tell me about AI").
Critical rules
- Web search is REQUIRED. If WebSearch is unavailable, halt immediately and tell the user.
- Every claim must cite a source URL. Unsourced assertions are not findings — they are guesses.
- Critical claims (market size, growth rates, competitive positioning...) require 2+ independent sources or get
confidence: Low. - Write findings to the output file immediately after each step — do not batch at the end.
- Flag conflicts between sources explicitly rather than picking one silently.
- Prose-first: Write in full sentences and paragraphs (aim for ≥80% prose). Use bullets only for true lists — never as the primary content delivery. "The market reached $4.2B in 2024 [Source]" is better than "* Market: $4.2B".
- Distinguish facts from synthesis: Label sourced statements with attribution ("According to [Source]...") and analytical conclusions with hedges ("This suggests...", "The pattern across sources indicates..."). Never present inference as fact.
- Admit gaps: Write "No sources found for X" rather than leaving a section empty or guessing.
What ships with it
15 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.
- assets/report-template.md 3.0 KB
- evals/evals.json 3.5 KB
- references/academic.md 3.1 KB
- references/citations.md 2.4 KB
- references/community.md 3.6 KB
- references/competitive.md 2.6 KB
- references/domain.md 2.7 KB
- references/financial.md 3.5 KB
- references/legal.md 3.6 KB
- references/market.md 2.7 KB
- references/org.md 3.1 KB
- references/parallel-search.md 4.6 KB
- references/product.md 2.8 KB
- references/technical.md 2.9 KB
- references/trend.md 3.7 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.
- 2mo ago First seen · 217 lines · 316 tokens per session scan A 5268278594db
deep-research is a skill published in the GitHub repository hssh8917/cc-skills (2 stars, last pushed 26d ago), licensed MIT. It adds 316 tokens to every session and 2,915 once invoked, about $0.0013 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 92% identical to deep-research, differing in 235 lines, and is treated as a copy.
deep-research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| deep-researchhssh8917/cc-skills | Skill | 2 | 26d ago | MIT | A | 316 | Claude Code |
| dingtalk_channel_connectagentscope-ai/QwenPaw | Skill | 37k | yesterday | Apache-2.0 | A | 69 | Claude Code, Codex |
| make_planagentscope-ai/QwenPaw | Skill | 37k | yesterday | Apache-2.0 | A | 51 | Claude Code, Codex |
| pdfagentscope-ai/QwenPaw | Skill | 37k | yesterday | Apache-2.0 | A | 95 | Claude Code, Codex |
| managing-mcp-serversJetBrains/thinkrail | Skill | 7.8k | yesterday | Apache-2.0 | A | 62 | Claude Code, Codex |
| knowledge-orgbojieli/ai-agent-book | Skill | 57k | 29d ago | Apache-2.0 | A | 96 | Claude Code, Codex |
| memory-systembojieli/ai-agent-book | Skill | 57k | 29d ago | Apache-2.0 | A | 95 | Claude Code, Codex |