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 anycap-ai/anycap --skill anycap-deepresearchgit clone --depth 1 https://github.com/anycap-ai/anycapWrote 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/anycap-ai/anycap/anycap-deepresearch)<a href="https://agentmods.dev/skills/anycap-ai/anycap/anycap-deepresearch"><img src="https://agentmods.dev/badge/skills/anycap-ai/anycap/anycap-deepresearch.svg" alt="Measured on agentmods" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00178 | $0.01490 |
| Opus 5 | $0.00089 | $0.00745 |
| Sonnet 5 | $0.00036 | $0.00298 |
| Haiku 4.5 | $0.00018 | $0.00149 |
Grade A, and why
anycap-deepresearch 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 8d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AnyCap Deep Research
Read this entire file before starting. It defines the multi-source research workflow from planning through synthesis.
Conduct thorough, multi-source research on any topic. Gather information broadly, verify claims rigorously, and synthesize findings into a polished, well-sourced report.
Think deeply. Search broadly. Verify everything. Deliver clearly.
Before You Start
Read all five reference files before taking any action. Understanding the full process prevents wasted effort and ensures thorough research.
- Read this file (SKILL.md) for the overview and principles
- Read each reference in order:
- Then begin Phase 1: Plan
For detailed CLI command usage (flags, output formats, jq patterns), refer to the anycap-cli skill and its references.
Prerequisites
anycapCLI installed and authenticated (anycap statusto verify)- A local working directory for intermediate files
When to Use This Skill
- Deep research, research report, deep dive on any topic
- Competitive analysis, market research, technology comparison
- Literature review or state-of-the-art survey
- Investigative research requiring cross-referencing multiple sources
- Any task where a single search is insufficient
Research Process
Follow the research process below. User clarification is mandatory -- do not skip it.
graph LR
A["Preliminary Search<br/>(optional)"] --> B[Clarify with User]
B --> C[Plan]
C --> D[Gather]
D --> E[Analyze]
E --> F[Synthesize]
F --> G[Deliver]
E -->|gaps found| D
The process starts with an optional preliminary search to build context, followed by a mandatory clarification with the user, then autonomous execution.
Each phase has detailed guidance in the references:
What ships with it
5 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.
- 8d ago First seen · 111 lines · 178 tokens per session scan A e138d6897a14
anycap-deepresearch is a skill published in the GitHub repository anycap-ai/anycap (43 stars, last pushed 13d ago), licensed MIT. It adds 178 tokens to every session and 1,490 once invoked, about $0.0009 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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