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 homeworkhawk-graded-worksheet-callbackgit 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/homeworkhawk-graded-worksheet-callback)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/homeworkhawk-graded-worksheet-callback"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/homeworkhawk-graded-worksheet-callback/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/homeworkhawk-graded-worksheet-callback"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/homeworkhawk-graded-worksheet-callback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00132 | $0.01447 |
| Opus 5.5 | $0.00053 | $0.00579 |
| Sonnet 5.5 | $0.00026 | $0.00289 |
| Haiku 4.5 | $0.00013 | $0.00145 |
Grade A, and why
homeworkhawk-graded-worksheet-callback 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 1mo 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HomeworkHawk — Graded Worksheet Callback
Why this exists
Automated homework grading is only useful if the results reach the parent. A grading result that lives in a dashboard nobody opens at work is a dead end. This skill closes the loop: when a grading pipeline finishes a worksheet, it hands the structured result to CALL-E, which phones the parent, delivers the summary in a warm and non-judgmental tone, names the questions worth reviewing, flags the ones the system itself escalated as unreadable, and offers a review session for tomorrow evening. The call returns a schema-validated result the grading app can act on.
It is a workflow skill on top of CALL-E's one-off
calls.createAndWait SDK call — no new backend, no scheduler state.
The grading result is advisory. It tells a parent what to look at together with their child; it is never an official grade, a judgment of the child, or a placement decision.
Default: preview, no call
Running the skill without --approve-call places no call. Preview
mode prints (and returns as JSON):
- the exact script the agent would read, with the student name and any escalated questions included,
- the destination number as it will be dialed (masked in all output),
- the result contract the app will receive.
# default — safe: renders the script, dials nobody
node notify.mjs graded.json --to +15550123456 --region US
# real call — only with an explicit approval flag, a verified
# guardian number, and a grading result that passed the
# ambiguity gate (see Safety)
node notify.mjs graded.json --to +15550123456 --region US --approve-call
When To Use
- a grading/vision pipeline has produced per-question verdicts and the parent/guardian has explicitly opted in to a phone callback instead of (or alongside) an app notification
- any "perception finished → an authorized adult should hear about it by phone" pattern: inspection reports, review-session booking after an automated assessment
What ships with it
2 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.
- 1mo ago First seen · 131 lines · 132 tokens per session scan A 1735c3d81c09
homeworkhawk-graded-worksheet-callback is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 132 tokens to every session and 1,447 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-16.
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