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 capacity-backfill-cascadegit 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/capacity-backfill-cascade)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/capacity-backfill-cascade"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/capacity-backfill-cascade/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/capacity-backfill-cascade"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/capacity-backfill-cascade.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 | $0.00050 | $0.00699 |
| Opus 5 | $0.00025 | $0.00349 |
| Sonnet 5 | $0.00010 | $0.00140 |
| Haiku 4.5 | $0.00005 | $0.00070 |
Grade A, and why
capacity-backfill-cascade 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
capacity-backfill-cascade
A phone-call workflow pattern for capacity recovery: confirm upcoming bookings, and when a guest cancels, offer the freed slot to waitlist candidates in priority order until one accepts. Works for restaurants, tours, classes, and any booking system with a waitlist.
When to use
- An upcoming booking list where cancellations free capacity
- A waitlist of guests who consented to receive offers
- A need to recover lost capacity without staff dialing
Prerequisites
- Python 3.10+ with the reference app installed:
cd apps/python/table-rescue && pip install -e . - CALL-E CLI installed and logged in (live mode only):
calle auth login --base-url https://seleven-mcp-sg.airudder.com --channel openagent_oauth
Workflow
- Prepare two JSONL inputs (schemas in
references/io-schemas.md): reservations and waitlist. Every record needs an explicitconsentflag; non-consented records are never dialled. - Run a dry-run first and inspect the audit and report:
python scripts/run_cascade.py --data-dir <dir> --state-dir <dir> - Only when the plan looks right, place real calls with an explicit budget:
python scripts/run_cascade.py --data-dir <dir> --state-dir <dir> --live --max-calls 6 - Review the masked staff report at
state/runs/<run-id>/report.md; escalate no-answer and error targets manually.
Safety rules
- Dry-run is the default; live requires
--live. - Never exceed the call budget; the engine stops before dialing when the budget is out.
- Never dial a record without consent.
- The call goals instruct the agent to identify itself as an automated assistant at the start of every call (disclosure by design).
- Reruns with the same run id skip already-dialled targets (duplicate prevention).
- Cancel a run with
table-rescue cancel --run-id <id>; later runs refuse to dial. - Mask phone numbers in any output you produce; never log full numbers or tokens.
- Live destinations must pass region-aware E.164 validation and appear in the
operator's
authorized_destinations.jsonlallowlist; the run prints a manifest and requires confirmation before the first call. - The MCP origin is pinned;
--base-urlcannot point anywhere else. - Uncertain outcomes (no answer, unparseable or wrong-family tokens, provider
failures) mark the target NEEDS_REVIEW and stop the run; use
table-rescue resumeafter human review. - Out of scope: medical, legal, financial, and emergency content.
What ships with it
7 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 First seen · 61 lines · 50 tokens per session scan A a863c1fb0ffd
capacity-backfill-cascade is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (88 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 699 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 2026-09-08.
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