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 mobilizegit 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/mobilize)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/mobilize"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/mobilize/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/mobilize"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/mobilize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 73 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00080 | $0.01127 |
| Opus 5 | $0.00040 | $0.00563 |
| Sonnet 5 | $0.00016 | $0.00225 |
| Haiku 4.5 | $0.00008 | $0.00113 |
Grade A, and why
mobilize 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 12d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mobilize
Use this skill when the user needs a specific number of confirmed people from
an existing, consented pool, under a deadline -- not one call, and not a
cold-outreach campaign. mobilize wraps the mobilize/ engine in this
repository (parallel wave dispatch, commitment calibration, a crash-safe
ledger) so an agent can trigger a real mobilization without reimplementing
any of it.
When To Use
Use this skill for:
- "I need N people to do X by " from a registry, roster, or list of people who already agreed to be contacted for this purpose
- urgent staffing, donor, or volunteer mobilization
- any task where calling candidates one at a time is clearly too slow and the pool is large enough that parallel dispatch matters
When Not To Use
Do not use this skill to:
- cold-call people who have not consented to being contacted for this
purpose --
mobilizeassumes the pool is a consented registry; it is not a lead-generation or cold-outreach tool - place a single one-off call (use CALL-E directly for that)
- guess phone numbers, need counts, or deadlines the user did not provide
- run
mobilize_realcalls without the user's explicit confirmation that the phone numbers are real, owned, or authorized contacts
Core Workflow
- Confirm the pool is consented (the user should say so explicitly, e.g. "call our registered donors" or "text the on-call rotation").
- Extract required fields:
need_label(what you're asking),count(how many confirmations needed),deadline_minutes, and the phone numbers or pool source. - If no real phone numbers exist yet, or the user wants to see the engine
work first, run the simulated path (
mobilize_simulatedvia the MCP server, orpython -m mobilize.app.cli) -- zero cost, instant, safe to run freely. - Only call
mobilize_real(orpython -m mobilize.app.cli --real) when the user has explicitly confirmed the phone numbers and wants to spend real CALL-E call credits. Never pass more numbers than the user explicitly provided. - Report the result: filled or not, how many confirmed, how many calls used, and time to fill.
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.
- 12d ago First seen · 105 lines · 80 tokens per session scan A c18df8ee9880
mobilize is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (88 stars, last pushed yesterday), licensed MIT. It adds 80 tokens to every session and 1,127 once invoked, about $0.0004 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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