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 accesscallgit 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/accesscall)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/accesscall"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/accesscall/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/accesscall"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/accesscall.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 | $0.00055 | $0.03551 |
| Opus 5 | $0.00028 | $0.01775 |
| Sonnet 5 | $0.00011 | $0.00710 |
| Haiku 4.5 | $0.00006 | $0.00355 |
Grade A, and why
accesscall 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 13d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AccessCall
Use this skill when a user wants to conduct an accessibility intake interview by phone instead of a web form, typically to support a Section 508 or WCAG conformance audit (VPAT 2.4).
Accessibility intake forms are themselves often inaccessible: screen reader fatigue, motor impairment, low vision, or cognitive load can all block someone from completing the exact form meant to capture their barrier report. AccessCall places a short phone call instead, conducts a structured verbal interview, and returns a result that maps onto standard VPAT 2.4 conformance report fields.
When To Use
Use this skill for:
- accessibility intake for someone who cannot use a web-based audit form
- gathering verbal barrier reports to populate a VPAT 2.4 / Section 508 audit report
- "call and ask about accessibility issues" or similar one-off outbound intake requests
When Not To Use
Do not use this skill to:
- place a call without the user explicitly confirming the recipient and their intent first
- guess a phone number's country code or region; ask if ambiguous
- call a third party who is not the requesting user without documented prior consent from that person
- auto-populate a VPAT row when the follow-up contact was never confirmed back to the caller (see Safety Rules)
- treat the auto-selected WCAG criterion row as final without human review; matching is done at the WCAG principle level (Perceivable / Operable / Understandable / Robust), not the specific success criterion
Setup
scripts/format-to-vpat.js depends on docx, jszip, and xml-js (declared in package.json). Run npm install inside skills/accesscall/ before using it — without this step it fails immediately with Cannot find module 'jszip'. scripts/parse-recap.js and scripts/phone-utils.js have no external dependencies and need no install step.
Core Workflow
What ships with it
13 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.
- assets/vpat-2.4-template-generic.docx 81 KB
- package-lock.json 7.9 KB
- package.json 489 B
- references/call-task-template.md 3.0 KB
- references/example-output.json 521 B
- references/examples.md 3.6 KB
- references/intake-result.schema.json 2.4 KB
- references/safety.md 16 KB
- scripts/call-lock.js 23 KB runs code
- scripts/format-to-vpat.js 17 KB runs code
- scripts/parse-recap.js 12 KB runs code
- scripts/phone-utils.js 2.8 KB runs code
- scripts/redact-transcript.js 4.6 KB runs code
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.
- 13d ago First seen · 117 lines · 55 tokens per session scan A 5241baadd287
accesscall is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (88 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 3,551 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.
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