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 CALLE-AI/awesome-phone-call-agents --skill partline-part-sourcinggit clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agentsWrote 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/calle-ai/awesome-phone-call-agents/partline-part-sourcing)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/partline-part-sourcing"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/partline-part-sourcing/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/calle-ai/awesome-phone-call-agents/partline-part-sourcing"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/partline-part-sourcing.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 | $0.00032 | $0.00567 |
| Opus 5 | $0.00016 | $0.00283 |
| Sonnet 5 | $0.00006 | $0.00113 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
partline-part-sourcing 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.
How it starts
The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PartLine
Use this skill when a maintenance or procurement user needs current supplier facts that are best confirmed by phone: exact part identity, on-hand quantity, shipping cutoff, lead time and explicitly confirmed alternatives.
Required inputs
Collect all of the following before creating a preview:
- requester and facility
- sourcing request ID
- exact manufacturer and part number
- quantity and need-by timestamp
- non-negotiable physical or electrical specifications
- whether alternatives may be discussed
- one to five supplier phone numbers in E.164 format
- region, locale and a purpose-bound authorization reference for every contact
- the suppliers' local timezone and weekday calling window
Do not infer missing specifications. Do not search for personal phone numbers. Use business contacts provided or approved by the user.
Workflow
- Write the request to a JSON file matching
assets/example-request.json. - Run
partline preview REQUEST.json. - Show the masked recipients, call count, exact task, purchase boundary and approval token.
- Pause for explicit user approval. A request to preview is not approval to call.
- Only after explicit approval, run the exact command printed by preview.
- Poll the returned call ID. Never create a second task because polling timed out.
- Rank exact matches before compatible matches. Mark unknown, contradictory or unsupported results for human follow-up.
- Present evidence and caveats. Never purchase, reserve, negotiate or accept supplier terms.
Safety rules
- Preview by default.
- Never pass
--livewithout explicit approval in the current conversation. - Never call outside the configured weekday call window.
- Never include another supplier's name, quote or inventory in a call.
- Never claim compatibility unless the supplier confirms every required specification.
- Treat a proposed alternate as requiring engineering approval.
- Do not persist raw transcripts unless the user provides a retention purpose and location.
- A CALL-E result supplies research evidence, not purchasing authority.
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.
- 8d ago First seen · 65 lines · 32 tokens per session scan A 047178ae0e53
partline-part-sourcing is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (88 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 567 once invoked, about $0.0002 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 2026-09-03.
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