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 sales-performance-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/sales-performance-playbook)<a href="https://agentmods.dev/skills/schmitech/orbit/sales-performance-playbook"><img src="https://agentmods.dev/badge/skills/schmitech/orbit/sales-performance-playbook.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.00211 |
| Opus 5 | $0.00006 | $0.00105 |
| Sonnet 5 | $0.00003 | $0.00042 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
sales-performance-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 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.
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
Ranking
Rank reps by attainment percentage (closed amount / quota), not raw closed amount, unless the user explicitly asks for a raw-bookings ranking.
The tool returns attainmentPct as a formatted percentage string. Compare its
numeric percentage value when ranking; do not derive a different percentage
from formatted currency strings.
Output
Always include quota, closed amount, and attainment % as columns. Flag any rep below 70% attainment as at-risk in a short note under the table. Also include active pipeline, unresolved support tickets, and SLA-breached tickets when interpreting workload or execution risk. Do not describe a rep as at-risk solely because they have support tickets unless their attainment is below 70% or the user asks for workload risk.
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 · 28 lines · 13 tokens per session scan A ff8b1d5ea512
sales-performance-playbook is a skill published in the GitHub repository schmitech/orbit (343 stars, last pushed today), licensed Apache-2.0. It adds 13 tokens to every session and 211 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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