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 oye-collective/actvt-claude-plugin --skill actvtgit clone --depth 1 https://github.com/oye-collective/actvt-claude-pluginWrote 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/oye-collective/actvt-claude-plugin/actvt)<a href="https://agentmods.dev/skills/oye-collective/actvt-claude-plugin/actvt"><img src="https://agentmods.dev/badge/skills/oye-collective/actvt-claude-plugin/actvt/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/oye-collective/actvt-claude-plugin/actvt"><img src="https://agentmods.dev/badge/skills/oye-collective/actvt-claude-plugin/actvt.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 | $0.00095 | $0.00956 |
| Opus 5.5 | $0.00038 | $0.00382 |
| Sonnet 5.5 | $0.00019 | $0.00191 |
| Haiku 4.5 | $0.00010 | $0.00096 |
Grade A, and why
actvt scanned grade A 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
those tools with curl. Everything stays on the Mac: the server listens on 127.0.0.1 only. How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Actvt
Actvt is a macOS menu-bar app that watches the Mac and the AI coding agents on it, and serves its
data as tools on a local MCP server. pi has no MCP client, so actvt.sh (next to this file) calls
those tools with curl. Everything stays on the Mac: the server listens on 127.0.0.1 only.
Calling a tool
./actvt.sh list # every tool, its arguments, what it returns
./actvt.sh agent_recent_activity '{"days":7}' # one call; arguments are one JSON object
./actvt.sh system_metrics_snapshot # tools without arguments need none
Run it from this skill's directory, or by its full path. It prints the tool's result (usually
JSON) and exits non-zero when the call fails, with the reason on the first line. Run list once
when you are unsure of a tool's arguments: the descriptions there are the reference.
Which tool
| The user asks | Tool |
|---|---|
| What is the machine doing right now? | system_metrics_snapshot, or system_cpu_current, system_gpu_current, system_memory_current, system_network_current, system_thermal_current |
| How has load changed over the last hour or week? | system_metrics_history (trailingMinutes), system_cpu_history, system_gpu_history |
| What is listening on port N? | ports_list |
| What did my agents cost? | agent_recent_activity (per day), agent_metrics_aggregate, agent_project_buckets (per project) |
| How much of my plan is left? | agent_usage_limits |
| Find the session where... | agent_search (text), then agent_session_summary with its compositeKey |
| Pick up where a session left off | agent_resume_session (compositeKey, tailTurns) |
| Which sessions match a filter? | agent_sessions_query, with agent_facet_options for the models, branches and tools to filter on |
| What keeps failing? | agent_error_patterns, agent_recent_error_count |
| Was it the agent or the machine that stalled? | session_machine_context (compositeKey) |
| Sessions on my other machines | agent_remote_sessions |
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.
- 8d ago First seen · 63 lines · 95 tokens per session scan A 0b16ddd05a0f
actvt is a skill published in the GitHub repository oye-collective/actvt-claude-plugin (0 stars, last pushed 9d ago), licensed MIT. It adds 95 tokens to every session and 956 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-31.
actvt compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| actvtoye-collective/actvt-claude-plugin | Skill | 0 | 9d ago | MIT | A | 95 | Claude Code |
| mailbridgepooyanmajd/pmtechdev-mcp-plugins | Skill | 0 | 4d ago | MIT | A | 64 | Claude Code, Codex |
| gmail-multiarkaigrowth/gmail-mcp-server | Skill | 0 | 3mo ago | MIT | A | 44 | Claude Code, Codex |
| apple-notes-searchconnerkward/mcp-apple-notes | Skill | 8 | 4mo ago | MIT | C | 209 | Claude Code |
| gmailvellum-ai/vellum-assistant | Skill | 1.5k | today | MIT | A | 20 | Claude Code, Codex |
| gmail-triggervellum-ai/vellum-assistant | Skill | 1.5k | today | MIT | A | 37 | Claude Code, Codex |
| daily-briefingvellum-ai/vellum-assistant | Skill | 1.5k | today | MIT | A | 75 | Claude Code, Codex |