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 genudo-ai/genudo_mcp --skill workspace-reportgit clone --depth 1 https://github.com/genudo-ai/genudo_mcpWrote 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/genudo-ai/genudo_mcp/workspace-report)<a href="https://agentmods.dev/skills/genudo-ai/genudo_mcp/workspace-report"><img src="https://agentmods.dev/badge/skills/genudo-ai/genudo_mcp/workspace-report/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/genudo-ai/genudo_mcp/workspace-report"><img src="https://agentmods.dev/badge/skills/genudo-ai/genudo_mcp/workspace-report.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 | $0.00062 | $0.00266 |
| Opus 5 | $0.00031 | $0.00133 |
| Sonnet 5 | $0.00012 | $0.00053 |
| Haiku 4.5 | $0.00006 | $0.00027 |
Grade A, and why
workspace-report 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 10d 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
Workspace Report
A crisp operations snapshot across the whole workspace. Read-only.
Pull
get_account_summary— pipelines, opportunities (active/won/lost), messages, total cost, cost per deal.get_ai_performance— total AI messages, average response time, total cost.get_messaging_stats— volume byprovider(whatsapp/messenger/instagram/linkedin) and time window; optionally perpipeline_id.
Report
Lead with the headline numbers, then AI cost + latency, then messaging volume. Call out the
2–3 things that need attention (rising cost per deal, slow response time, a channel dropping).
Reconcile any odd figure against list_opportunities / list_contacts before stating it as fact.
Keep it to a scannable summary a non-technical operator can act on. For funnel-level detail,
hand off to analyze-funnel.
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.
- 10d ago First seen · 26 lines · 62 tokens per session scan A 2d1117b05f07
workspace-report is a skill published in the GitHub repository genudo-ai/genudo_mcp (0 stars, last pushed 10d ago), licensed MIT. It adds 62 tokens to every session and 266 once invoked, about $0.0003 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 2026-08-31.
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