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 pharmacy-stock-checkgit 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/pharmacy-stock-check)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/pharmacy-stock-check"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/pharmacy-stock-check/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/pharmacy-stock-check"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/pharmacy-stock-check.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 | $0.00066 | $0.03835 |
| Opus 5 | $0.00033 | $0.01917 |
| Sonnet 5 | $0.00013 | $0.00767 |
| Haiku 4.5 | $0.00007 | $0.00383 |
Grade A, and why
pharmacy-stock-check 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 3d 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 — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pharmacy stock check
Finding a medication that is actually in stock means calling pharmacies one at a time and asking the same four questions. This skill does the calling and returns a ranked answer.
It is a good fit for CALL-E's design: low-frequency, personal, high-stakes phone work that was never worth automating with a traditional call platform.
Before you start
This skill places real phone calls to real businesses. Confirm with the user:
- the medication, dosage and quantity
- which pharmacies to call, as E.164 numbers
- that they want calls placed now
Never infer a phone number. Never call a number the user did not supply or approve.
Safety boundaries
This skill gathers availability and pricing information only.
- It does not give medical advice, recommend a medication, or suggest a substitute. If a pharmacist offers an alternative, report it verbatim as something the pharmacist said — never as a recommendation.
- It does not place an order, reserve stock, or commit to a purchase on the user's behalf.
- It is not for emergencies. If someone needs medication urgently, they should contact emergency services or an urgent care provider, not wait on an agent.
- Prescription requirements are reported, never worked around.
- Report the pharmacist's answer and the confidence score. Do not present a low-confidence result as fact — the user may travel somewhere while unwell on the strength of it.
Workflow
1. Collect the request
Required: medication name, dosage, quantity, recipient region, and the list of pharmacy phone numbers in E.164 format.
Validate every number before anything else happens. E.164 is a plus, a
non-zero country code digit, then 7–14 more digits — ^\+[1-9]\d{7,14}$.
Reject anything else and ask the user; never guess a country code. A local
number silently reaching the planner is how the wrong person gets called.
2. Build the goal
CALL-E's MCP surface has no result_schema parameter, so the fields you want
must be named in the goal text. CALL-E honours them reliably and emits them in
result.summary.
What ships with it
8 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.
- 3d ago Changed · -18 lines d2588d774344
- 13d ago First seen · 389 lines · 66 tokens per session scan A 05d156bc8892
pharmacy-stock-check is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (88 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 3,835 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…