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-verbal-irony-detectorgit 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-verbal-irony-detector)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-verbal-irony-detector"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-verbal-irony-detector/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-verbal-irony-detector"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-verbal-irony-detector.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 | $0.00059 | $0.00772 |
| Opus 5.5 | $0.00024 | $0.00309 |
| Sonnet 5.5 | $0.00012 | $0.00154 |
| Haiku 4.5 | $0.00006 | $0.00077 |
Grade A, and why
call-verbal-irony-detector 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 29d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
call-verbal-irony-detector
What was said is not always what was meant.
call-summarizer reports caller sentiment - what was said. This skill detects
verbal irony - the mismatch between the two - and turns it into the next
call's strategy. A callee who answers "Oh, great. Just perfect." after a
complaint is not happy, and an agent that acts on the literal words will
make it worse.
When To Use
- after any CALL-E call where the outcome hinges on a positive-sounding answer inside a complaint discussion
- to decide whether a follow-up call should use a de-escalation goal
- to generate that de-escalation goal for
plan_calldirectly
When Not To Use
- to detect sentiment in general; use
call-summarizerfor that - to detect fraud or social engineering; use
call-fraud-shield - during a call; this is strictly post-call analysis plus pre-call goal crafting, because CALL-E exposes transcripts, not live audio
- as proof of the callee's emotional state; text-only irony cues are ambiguous and the card says so
Workflow
Analyze a finished call
python3 scripts/irony_detector.py analyze --transcript path/to/call-result.json
Reads the real get_call_run result shape ({status, result: {transcript}})
or the flat shape used by sibling skill fixtures. Emits a card:
irony_detected+confidence(high / medium / low / none)evidence: turn index, masked span, matched rulesirony_assessment: "unclear"with a reason when the callee never spokerecommended_action:retry_with_deescalation_goal(with the goal text),verify_literal_intent_prompt, orcontinue
Confidence labels are fixed heuristic score buckets, not empirically calibrated probabilities. Action names are review suggestions only; confirm the person's intent and separately approve any follow-up call or consequential action.
Craft the follow-up goal
python3 scripts/irony_detector.py craft --scenario complaint-followup --language en
Emits the plan_call inputs JSON whose goal is the same de-escalation
template the card recommends, so analysis and next call stay consistent.
What ships with it
6 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.
- 29d ago First seen · 80 lines · 59 tokens per session scan A 65cb9d4773c0
call-verbal-irony-detector is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 772 once invoked, about $0.0002 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 2026-09-21.
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