AgentScope Java is a framework for building distributed software agents that use language models to perform tasks over extended sessions. It is intended for enterprise applications needing agent coordination, controlled tool use, isolated workspaces, event streaming, and distributed session management. The catalogue entries provide skills and instructions for working with this framework.
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 agentscope-ai/agentscope-java --skill code-searchgit clone --depth 1 https://github.com/agentscope-ai/agentscope-javaWrote 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/agentscope-ai/agentscope-java/code-search)<a href="https://agentmods.dev/skills/agentscope-ai/agentscope-java/code-search"><img src="https://agentmods.dev/badge/skills/agentscope-ai/agentscope-java/code-search/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/agentscope-ai/agentscope-java/code-search"><img src="https://agentmods.dev/badge/skills/agentscope-ai/agentscope-java/code-search.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 | $0.00038 | $0.00312 |
| Opus 5.5 | $0.00015 | $0.00125 |
| Sonnet 5.5 | $0.00008 | $0.00062 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
code-search 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 1mo 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.
What it actually says
Code Search
The built-in grep tool matches LITERAL text only. For real regular-expression search and
history-aware lookups, drive ripgrep and git through execute.
Ripgrep (regex)
- Symbol definition:
rg -n "fn\s+\w+\(" src/,rg -n --type java "class \w+Service". - Usages of a name:
rg -n "\bmyFunction\b". - Limit by file type:
rg -n --type ts "useEffect\(". - List files only:
rg -l "TODO"; find files by name:rg --files | rg <name>or useglob.
Git history search
- When a string was introduced/removed:
git log -S "<string>" --oneline. - Who/why a line changed:
git blame -L <start>,<end> <file>. - Search tracked files:
git grep -n "<regex>".
Tips
- Prefer a targeted regex over reading whole files when locating symbols or call sites.
- Escape regex metacharacters when you want a literal match, or pass
-Fto ripgrep. - Narrow scope with a path argument to keep output small (tool output is truncated).
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.
- 1mo ago First seen · 29 lines · 38 tokens per session scan A 69b99e84d0a1
code-search is a skill published in the GitHub repository agentscope-ai/agentscope-java (6,013 stars, last pushed today), licensed Apache-2.0. It adds 38 tokens to every session and 312 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
Docker Management
Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.
SongSee
Generate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.
GitHub Auth
Verify GitHub CLI or connector authentication, identify the active identity, and debug missing permissions before other GitHub operations.
GitHub Code Review
Review pull requests with a bug-first mindset, grounding findings in concrete diff context and repository behavior.
Systematic Debugging
Investigate bugs by reproducing, isolating, and validating a root-cause hypothesis before applying fixes.
agent-identity
Verify an agent's live address and billing account before sharing a chat link, diagnosing a deploy mismatch, or deciding why two hosts share an identity.