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 call-rehearsalgit 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/call-rehearsal)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-rehearsal"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-rehearsal/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/call-rehearsal"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-rehearsal.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 | $0.00042 | $0.00878 |
| Opus 5 | $0.00021 | $0.00439 |
| Sonnet 5 | $0.00008 | $0.00176 |
| Haiku 4.5 | $0.00004 | $0.00088 |
Grade A, and why
call-rehearsal 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Call Rehearsal
A CALL-E call returns a structured result, and something downstream acts on it. The dangerous failure is not a call that fails loudly. It is a call that never reached a consenting human whose result still resolves to the branch that ships the order.
That happens because an unestablished field is absent, and absent is falsy. A
rule as ordinary as confirmed != false is true when voicemail picked up and
nothing at all was extracted.
This skill covers finding that before the call, by rehearsing the plan against the ways calls actually end.
When to use it
Use it before the first real call of any workflow whose result triggers a
real-world side effect: dispatching, shipping, charging, cancelling, granting
access, or writing a confirmation into a system of record. Use it again whenever
the task, the result_schema, or the rule that reads the result changes, since
this failure is introduced by editing any one of the three without the others.
Skip it for a call whose result nobody acts on automatically. A call that only produces a note for a human to read has no branch to get wrong.
The procedure
- Name the single decision. Write down the one thing the call exists to establish. If there seem to be several, the call is doing too much and the rehearsal will show the decision field carrying weight it cannot hold.
- Write the call plan. One JSON file with the
task, theresult_schema, thefieldsroles, and thedecision_ruleincluding what each branch does and whether it changes the real world. - Declare the field roles. Map result fields onto
decision,reachability,consent,identityanddeferral. Onlydecisionis required. Do not guess a role: if you cannot say which field carries the decision, ask the person who owns the workflow. - Rehearse. Run the plan and read what the automation does for each ending.
- Gate on the exit code.
0means no ending above the threshold reaches a side effect,20means the plan should not go out as written,30means the plan could not be read.
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.
- 8d ago First seen · 82 lines · 42 tokens per session scan A 4a7f660bb2e0
call-rehearsal is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (88 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 878 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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