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/mustaphasteph/agent-bus-plugins/agent-busnpx skills add MustaphaSteph/agent-bus-plugins --skill agent-busgit clone --depth 1 https://github.com/MustaphaSteph/agent-bus-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/mustaphasteph/agent-bus-plugins/agent-bus)<a href="https://agentmods.dev/skills/mustaphasteph/agent-bus-plugins/agent-bus"><img src="https://agentmods.dev/badge/skills/mustaphasteph/agent-bus-plugins/agent-bus.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 | $0.00045 | $0.06779 |
| Opus 5 | $0.00023 | $0.03390 |
| Sonnet 5 | $0.00009 | $0.01356 |
| Haiku 4.5 | $0.00005 | $0.00678 |
Grade A, and why
agent-bus 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 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.
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.
This is a copy
100% identical to agent-bus — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 416 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-bus
Turn your Claude / Codex / Cursor / Gemini sessions on the same machine
into a local agent team. Each session registers a name, then you can
send messages, ask blocking questions, delegate tasks, broadcast to
channels, message scoped teams, route work by capability/role, track
agent status, record decisions and memories, record task progress,
generate session briefs, and produce merge-readiness reports — all
through one SQLite file at ~/.agent-bus/bus.db.
This skill is the coordinator playbook: when the user speaks naturally, you translate their intent into agent-bus tool calls.
Setup check (do this first)
Before using any bus tools, run scripts/check-setup.sh. If it exits
non-zero, halt and show the user the install hint it printed. Do not
try to use the bus until the check passes. If the user asks you to fix
the setup, run scripts/check-setup.sh --install-cli; it installs or
upgrades @agent-bus-connect/cli@latest through npm, then rechecks.
If mcp__agent-bus__register is not in your available tools, the MCP
server is not wired into this session. Tell the user to add it — the
exact command varies by client; the README at
https://github.com/MustaphaSteph/agent-bus#install has each.
Identity
This session is the coordinator. At the start of any bus interaction:
- Call
registerwith a stable name and a concreteteam. Ask the user once for any missing name or team, then reuse both for the rest of the session. Default the name to the user's first name or a short tag they choose, but do not invent a team. Passreplace=true,team=<team>, and capabilities["human-driven", "coordinator"]plus up to ten relevant native powers such astool:websearch,tool:shell,mcp:posthog,skill:flowdeck, orsubagent:Explore. Capabilities are exact-match tags:mcp:posthogdoes not matchposthog. Do not register without a team. Ifregisterreturnsscope_summary/suggested_next_actions, follow the teaser. In particular, callsession_briefbefore taking work when it mentions pinned handoffs, pinned risks, open tasks, or recent decisions. - Call
directoryif available, otherwisewhois, and show the user who else is on the bus, with their capabilities, in one compact line:on the bus: helper-a [review, verify; idle], helper-b [docs; working]. If nobody else is registered, say so. - Do NOT enter a listener loop. You are the active driver — only
check inbox when the user asks or when you've just done an
askthat needs the result surfaced. When checking inbox in a team workflow, pass your concreteteam.
What ships with it
3 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.
- 4d ago First seen · 416 lines · 45 tokens per session scan A f8ef6258e9de
agent-bus is a skill published in the GitHub repository MustaphaSteph/agent-bus-plugins (1 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 6,779 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to agent-bus, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
evolve
Research-driven multi-cycle improvement director. Forms causal hypotheses about why scores are low, validates them with scout agents before attacking, dispatches axis-parallel fleet attacks, extracts transferable patterns, and runs indefinitely within a budget envelope. Accumulates a persistent belief model and…
improve
Autonomous quality improvement loop. Scores a target against a rubric, selects the highest-leverage axis, attacks it, verifies, documents, and loops. No pre-planning between iterations — each loop re-scores from scratch.
research
Focused research investigations. Converts questions into structured findings with confidence levels and source citations. Single agent by default; with --parallel (or when the question decomposes into 3+ independent angles) it spawns scout agents whose findings are compressed into a unified brief. Does not make…
ascii-diagram
Generate perfectly aligned ASCII diagrams — architecture, flow, sequence, box-and-arrow. Uses a programmatic character-grid approach so alignment is guaranteed by math, not token prediction. Includes post-render verification.
triage
GitHub issue and PR investigator. Pulls open issues/PRs, classifies them, searches the codebase for root cause or reviews contributed code, proposes fixes with file:line references, and optionally implements fixes. Use for investigating GitHub issues and reviewing PRs; do NOT use for general code review unrelated to…
watch
File sentinel that monitors the working directory for changes and marker comments, then auto-triggers appropriate skills. Poll-based via git diff against the last scan commit. Writes intake items for batch processing and routes marker actions through /do. Use for automatic reactions to file changes; do NOT use for…