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 joaquimscosta/arkhe-claude-plugins --skill deep-researchgit clone --depth 1 https://github.com/joaquimscosta/arkhe-claude-pluginsWrote 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/joaquimscosta/arkhe-claude-plugins/deep-research)<a href="https://agentmods.dev/skills/joaquimscosta/arkhe-claude-plugins/deep-research"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/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/joaquimscosta/arkhe-claude-plugins/deep-research"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00086 | $0.00999 |
| Opus 5 | $0.00043 | $0.00500 |
| Sonnet 5 | $0.00017 | $0.00200 |
| Haiku 4.5 | $0.00009 | $0.00100 |
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 10d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Research
Coordinate deep technical research with intelligent caching for cross-project reuse and team knowledge sharing.
Quick Start
When research is needed:
- Scripts path -
${CLAUDE_SKILL_DIR}/scripts/ - Single fetch call - Run
python3 ${CLAUDE_SKILL_DIR}/scripts/cache_manager.py fetch "{topic}"(combines check+get) - If
exists=true- Present thecontentfield directly (no agent needed). Suggest promote if valid, refresh if expired. - If
exists=false- Invokedeep-researcheragent for EXA research, which caches viacache_manager.py put - Report findings - Include cache status and promote suggestion
Cache Architecture
| Tier | Location | Purpose | Shared |
|---|---|---|---|
| 1 | ~/.claude/plugins/research/ |
Fast, cross-project | User only |
| 2 | docs/research/ or JD-resolved path |
Curated, version controlled | Team |
Operations
| Operation | Trigger | Fast Path? | Action |
|---|---|---|---|
| Research | /research <topic> or natural language |
Yes (cache hit) | Check cache → return if valid, else research → cache |
| Promote | /research promote <slug> |
Yes | Run promote.py {slug} directly |
| Refresh | /research refresh <slug> |
No | Spawn agent → fresh research → cache → update promoted |
| List | /research list |
Yes | Run cache_manager.py list (project-scoped by default, --all for everything) |
JD-Aware Path Resolution
Promote and refresh operations detect .jd-config.json to resolve the research output path. If an area containing "research" exists (e.g. "30": "research"), output goes to docs/30-research/. Otherwise falls back to docs/research/. The frontmatter standard is defined by the research-frontmatter skill in the doc plugin.
Project Scoping
Research entries are automatically associated with the current git repository when cached. The list operation filters by current project by default, so each project sees only its relevant research. Use --all to see everything.
What ships with it
7 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.
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.
- 10d ago First seen · 98 lines · 86 tokens per session scan A 1a117f790c3a
deep-research is a skill published in the GitHub repository joaquimscosta/arkhe-claude-plugins (21 stars, last pushed 27d ago), licensed MIT. It adds 86 tokens to every session and 999 once invoked, about $0.0004 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 2026-08-30.
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Git branching, commits, and PR workflow following GitFlow conventions.
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Plan safe refactoring with dependency analysis, impact assessment, and rollback strategies.