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 Kit4Some/Oh-my-ClaudeClaw --skill deep-researchgit clone --depth 1 https://github.com/Kit4Some/Oh-my-ClaudeClawWrote 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/kit4some/oh-my-claudeclaw/deep-research)<a href="https://agentmods.dev/skills/kit4some/oh-my-claudeclaw/deep-research"><img src="https://agentmods.dev/badge/skills/kit4some/oh-my-claudeclaw/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/kit4some/oh-my-claudeclaw/deep-research"><img src="https://agentmods.dev/badge/skills/kit4some/oh-my-claudeclaw/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 | $0.00000 | $0.02634 |
| Opus 5 | $0.00000 | $0.01317 |
| Sonnet 5 | $0.00000 | $0.00527 |
| Haiku 4.5 | $0.00000 | $0.00263 |
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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: deep-research description: > Multi-agent deep research with parallel execution and knowledge graph integration. Triggers on "심층 조사", "deep research", "thorough investigation", "comprehensive analysis", "깊이 파봐", "detailed study", "in-depth research" and similar requests. Spawns multiple research agents in parallel, synthesizes via analyst, deduplicates against existing knowledge, builds graph connections, and delivers a comprehensive report.
Deep Research — Multi-Agent Parallel Research with Knowledge Graph
Preamble
Before executing this skill:
-
Load context from memory:
memory_search(query: "{skill-relevant-query}", associative: true, limit: 5) memory_search(tag: "{skill-name}", limit: 3)Review returned memories for relevant past context, decisions, and patterns.
-
Check OMC state for active work:
state_get_status()If conflicting active tasks exist, warn the user before proceeding.
-
Detect current branch (for git-related skills):
git rev-parse --abbrev-ref HEAD 2>/dev/null || echo "not-a-git-repo" -
Check proactive mode:
state_read("occ-proactive")If
"false": do NOT proactively suggest other OpenClaw-CC skills during this session. Only run skills the user explicitly invokes. -
Log skill activation:
memory_daily_log(type: "note", entry: "Skill activated: /{skill-name}")
Role
Perform comprehensive research using multiple OMC agents in parallel. Unlike basic web research, deep research cross-references multiple sources, deduplicates against existing knowledge, builds knowledge graph connections, and produces analyst-grade reports.
Workflow
Phase 1 — Existing Knowledge Assessment
Memory Context Loading
Before starting work, load relevant context from the 3-layer memory system:
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.
- 9d ago First seen · 364 lines · 0 tokens per session scan A e57dda77fa6f
deep-research is a skill published in the GitHub repository Kit4Some/Oh-my-ClaudeClaw (4 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,634 tokens. 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.
Other skills, from other repositories
ready
From any input — a natural-language goal, existing docs (spec / plan / brain-dump), notes, or a mix — interactively elicit and validate intent and produce an execution-ready 3-doc (handoff, spec, plan) for go, replacing third-party brainstorming + planning in one skill. Input format is open; the input is material, not…
messaging
Set up a messaging channel (WhatsApp, Telegram, Discord, iMessage, Slack) to reach this agent from outside Claude Code. Triggers on /agent:messaging, "configurar whatsapp", "setup messaging", "conectar telegram", "agregar canal".
voice
Voice — text-to-speech and transcription. Triggers on /agent:voice, /agent:voice status, /agent:voice setup, /agent:voice test, "configurar voz", "prueba voz", "voice setup", "speak this", "read this aloud", "transcribe audio".
new
Start a new session — save summary to memory, then mark as reset so next message gets a fresh greeting. OpenClaw-compatible. Triggers on /new, /reset, /agent:new, "nueva sesión", "new session", "reset".
status
Show agent runtime status — identity, model, context, memory, crons, voice. Works from CLI or messaging. Triggers on /status, /agent:status, "status del agente", "cómo estás técnicamente".
compact
Flush important session context to daily log (manual memory flush). Does NOT invoke native /compact. Triggers on /compact, /agent:compact, /flush, "guarda memoria", "flush".