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 agentmods add skills/dsifry/metaswarm/statusnpx skills add dsifry/metaswarm --skill statusgit clone --depth 1 https://github.com/dsifry/metaswarmWrote 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/dsifry/metaswarm/status)<a href="https://agentmods.dev/skills/dsifry/metaswarm/status"><img src="https://agentmods.dev/badge/skills/dsifry/metaswarm/status.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.01569 |
| Opus 5 | $0.00009 | $0.00785 |
| Sonnet 5 | $0.00004 | $0.00314 |
| Haiku 4.5 | $0.00002 | $0.00157 |
Grade B, and why
status scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- Check `~/.codex/config.toml` for an enabled `metaswarm@...` plugin entry when accessible How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Status Skill
Generate a diagnostic report of the metaswarm installation, project configuration, and potential issues across Claude Code, Codex, and Gemini. Useful for troubleshooting and verifying setup or migration.
Checks
Run each check below and present results in a single formatted report. Detect the active platform first:
- Codex:
PLUGIN_ROOTorCODEX_HOMEis present,.codex-plugin/plugin.jsonis the active manifest, or the user invoked$status - Claude Code:
CLAUDE_PLUGIN_ROOTis present,.claude-plugin/plugin.jsonis the active manifest, or the user invoked$status - Gemini:
extensionPathis present,gemini-extension.jsonis the active manifest, or the user invoked$status
1. Plugin Version
- Codex: read
.codex-plugin/plugin.jsonfrom the plugin root and reportversion - Claude Code: read
.claude-plugin/plugin.jsonfrom the plugin root and reportversion - Gemini: read
gemini-extension.jsonfrom the plugin root and reportversion - Fallback: read
package.jsonat plugin root forversion - If neither found:
Plugin version: UNKNOWN
2. Project Setup State
- Check if
.metaswarm/project-profile.jsonexists in the working directory - If present, report key fields:
distribution,metaswarm_version,language,framework,test_runner - If absent, report the platform-specific setup command:
- Codex:
Project setup: NOT CONFIGURED -- run $setup - Claude Code:
Project setup: NOT CONFIGURED -- run $setup - Gemini:
Project setup: NOT CONFIGURED -- run $setup
- Codex:
3. Platform Install State
Codex
- Check
.codex-plugin/plugin.jsonexists in the plugin root - Check
~/.codex/config.tomlfor an enabledmetaswarm@...plugin entry when accessible - Scan
~/.codex/plugins/cache/for.codex-plugin/plugin.jsonwith"name": "metaswarm" - If installed from a local marketplace, report cache version as
local
Claude Code
- Check
.claude-plugin/plugin.jsonexists in the plugin root - Scan
~/.claude/plugins/cache/for.claude-plugin/plugin.jsonwith"name": "metaswarm" - Report marketplace/plugin cache status when accessible
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.
- 4d ago First seen · 174 lines · 18 tokens per session scan B 79ee564774d9
status is a skill published in the GitHub repository dsifry/metaswarm (407 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 1,569 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…