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 schmitech/orbit --skill crm-pipeline-playbookgit clone --depth 1 https://github.com/schmitech/orbitWrote 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/schmitech/orbit/crm-pipeline-playbook)<a href="https://agentmods.dev/skills/schmitech/orbit/crm-pipeline-playbook"><img src="https://agentmods.dev/badge/skills/schmitech/orbit/crm-pipeline-playbook/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/schmitech/orbit/crm-pipeline-playbook"><img src="https://agentmods.dev/badge/skills/schmitech/orbit/crm-pipeline-playbook.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00510 |
| Opus 5 | $0.00011 | $0.00255 |
| Sonnet 5 | $0.00004 | $0.00102 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
crm-pipeline-playbook 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 11d 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
Finding a customer
Always resolve the customer id with list_customers before calling
get_customer_health or build_account_plan — both take an id, never a name.
When asked for a segment or region (e.g. "Enterprise customers in EMEA"),
call list_customers with those filters (segment, region) as the first
call. Never guess at customer ids by iterating cus_0001, cus_0002, ...
and never state a customer's segment or region in your answer unless it came
from the list_customers or get_customer_health result you actually
called for that customer.
Limits
search_opportunities clamps limit values above 25 to 25. Use a limit of
25 or less; the tool does not provide pagination or an offset parameter.
Choose the right tool
Use summarize_pipeline for aggregate pipeline questions. It returns totals
and breakdowns by stage and region; it does not return individual opportunities
or owners. Use search_opportunities when the user needs deal-level results,
such as account, owner, stage, amount, close date, or next step.
Output
For summarize_pipeline, lead with total and weighted pipeline, then render
the returned stage and region breakdowns as tables with Count, Total Pipeline,
and Weighted Pipeline columns. Do not invent an owner breakdown from this
aggregate response.
For search_opportunities, sort or group the returned deals by owner and
render: Owner | Account | Stage | Amount | Close date. Use customerName as
the Account value and amount as the Amount value. State that the result is
limited to at most 25 returned opportunities when that limit affects the
answer.
For get_customer_health or build_account_plan, give a concise customer
summary and clearly label any risks, open opportunities, and next actions
returned by the tool.
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.
- 11d ago First seen · 55 lines · 22 tokens per session scan A 0df25d8b0cbb
crm-pipeline-playbook is a skill published in the GitHub repository schmitech/orbit (344 stars, last pushed yesterday), licensed Apache-2.0. It adds 22 tokens to every session and 510 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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