Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Lifecycle-Innovations-Limited/claude-ops/plugin install opsWrote 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/lifecycle-innovations-limited/claude-ops/ops-dash)<a href="https://agentmods.dev/skills/lifecycle-innovations-limited/claude-ops/ops-dash"><img src="https://agentmods.dev/badge/skills/lifecycle-innovations-limited/claude-ops/ops-dash/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/lifecycle-innovations-limited/claude-ops/ops-dash"><img src="https://agentmods.dev/badge/skills/lifecycle-innovations-limited/claude-ops/ops-dash.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 | $0.00028 | $0.04005 |
| Opus 5 | $0.00014 | $0.02003 |
| Sonnet 5 | $0.00006 | $0.00801 |
| Haiku 4.5 | $0.00003 | $0.00400 |
Grade A, and why
ops-dash 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 9d 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 — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OPS > DASH — Interactive Command Center
Load ops-rules before acting. Public repo (no personal data). Outbound: one draft → one approval → one send. If AskUserQuestion / Workflow are missing, follow Rule 10 in ops-rules (Hermes: numbered options / two-turn Telegram card; delegate_task).
Runtime Context
Before rendering, load available context:
-
Preferences: Read
${CLAUDE_PLUGIN_DATA_DIR:-$HOME/.claude/plugins/data/ops-ops-marketplace}/preferences.jsonowner— personalize the dashboard header greetingtimezone— display timestamps correctly in status indicators
-
Daemon health: Read
${CLAUDE_PLUGIN_DATA_DIR}/daemon-health.json- If
action_neededis not null → show a warning banner at the top of the dashboard before the menu
- If
Agent Teams support
If CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 is set, use Agent Teams when loading dashboard data in parallel. This enables:
- Agents share context and can coordinate mid-flight
- You can steer priorities in real-time
- Agents report progress as they complete
Team setup (only when flag is enabled):
TeamCreate("dash-team")
Agent(team_name="dash-team", name="infra-loader", prompt="Gather ECS health, Vercel status, and CI pipeline state")
Agent(team_name="dash-team", name="comms-loader", prompt="Gather unread counts across all configured channels")
Agent(team_name="dash-team", name="projects-loader", prompt="Gather GSD phase, git status, and PRs for all projects")
Agent(team_name="dash-team", name="business-loader", prompt="Gather revenue, Linear sprint, and fire alerts")
If the flag is NOT set, use standard fire-and-forget subagents.
Render dashboard instantly
${CLAUDE_PLUGIN_ROOT}/bin/ops-dash 2>/dev/null || echo "DASH_RENDER_FAILED"
Your task
The dashboard has already rendered above via the shell script — the user can see the full colored ANSI output directly. Your job is to route user input to the right skill.
DO NOT re-render, re-print, summarize, transcribe, or describe the dashboard output. The user sees the rich colored render above; any plain-text re-statement is duplicate noise and destroys the visual quality.
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.
- 9d ago First seen · 399 lines · 28 tokens per session scan A fed40544fb10
ops-dash is a skill published in the GitHub repository Lifecycle-Innovations-Limited/claude-ops (187 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 4,005 once invoked, about $0.0001 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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