call-transcript-reliability-gate

call-transcript-reliability-gate is a skill for Claude Code, Codex from CALLE-AI/awesome-phone-call-agents. It costs 74 tokens per session (1,229 once invoked), scanned A, original, MIT.

A post-call checker for speech-to-text transcripts. It labels a transcript reliable, suspect, or unusable when its text shows signs that the speech-recognition system may have made up content.

In plain words
What is it for?
Use it after calls before relying on details such as bookings, records, or payments. It also helps shape safer goals for calls where exact values matter.
Why use it?
A wrong transcript can lead an automated system to record or act on a false fact. This checker warns you to verify suspicious text, without claiming to prove what happened in the audio.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it after calls before relying on details such as bookings, records, or payments. It also helps shape safer goals for calls where exact values matter.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/calle-ai/awesome-phone-call-agents/call-transcript-reliability-gate
Install

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.

Any agent
npx skills add CALLE-AI/awesome-phone-call-agents --skill call-transcript-reliability-gate
Clone the repo
git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for call-transcript-reliability-gate

README.md
[![agentmods](https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-transcript-reliability-gate/github.svg)](https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-transcript-reliability-gate)
Your own site
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-transcript-reliability-gate"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-transcript-reliability-gate/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.

agentmods 80×15 button for call-transcript-reliability-gate

Your own site · 80×15
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-transcript-reliability-gate"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-transcript-reliability-gate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,229 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.01229
Opus 5.5 $0.00030 $0.00492
Sonnet 5.5 $0.00015 $0.00246
Haiku 4.5 $0.00007 $0.00123

Measured 26d ago against content hash ad40254db249, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

call-transcript-reliability-gate 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 26d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/test_transcript_reliability_gate.py, scripts/transcript_reliability_gate.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/call-transcript-reliability-gate/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

call-transcript-reliability-gate

Before you trust what the phone heard, check how it was written down.

Every verification skill in this repository - call-review, verity-verification-core, provenance-grade, exact-ref - starts from the same assumption: the transcript is ground truth. This skill audits that assumption. Speech-to-text systems hallucinate fluent text with no basis in the audio, and those hallucinations disproportionately appear as loops, caption-credit boilerplate, and even harmful phantom content. A downstream verdict built on a hallucinated confirmation is wrong with perfect confidence.

When To Use

  • after any CALL-E call whose result will be written somewhere (booking, record update, payment) and before other transcript skills consume it
  • when a summary contains values the transcript turns seem to repeat oddly, or boilerplate no phone caller would say
  • before placing a number-critical call, to craft a goal that reduces transcription risk in the first place

When Not To Use

  • to prove the provider hallucinated; text signals are advisory reasons to re-confirm, not verdicts about the audio
  • during a call; this is strictly post-call transcript analysis plus pre-call goal crafting, because CALL-E exposes transcripts, not live audio
  • as a replacement for word-level confidence scores; CALL-E does not expose them, and this skill says so
  • to authorize any action; verdicts route work to humans, they never permit anything

Workflow

Gate a finished call

python3 scripts/transcript_reliability_gate.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:

  • verdict: RELIABLE / SUSPECT / UNUSABLE
  • evidence: turn index, masked span, matched rules
  • signals_summary: counts per rule - loop_repetition (same 3+-word phrase repeated 3+ times in one turn), boilerplate_phantom (caption credits and video boilerplate that non-speech audio triggers), harm_violence / harm_extremism / harm_slur_prefix (documented hallucination harm categories - always routed to human review), non_english_insertion (script switch mid-call), empty_turn, no_callee_turns, single_turn_call, extreme_turn_length, empty_word_content
  • fields_to_reconfirm: numbers and date words inside suspect turns, masked
  • recommended_action: proceed_with_caution, reverify_key_fields, or do_not_act_on_transcript

Read the full file on GitHub · 103 lines

Files

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.

Changes

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.

  1. 26d ago First seen · 103 lines · 74 tokens per session scan A ad40254db249

Subscribe to this mod's changes

call-transcript-reliability-gate is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 1,229 once invoked, about $0.0003 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 2026-09-24.

Related

Other skills, from other repositories

debug-optimize-lcp

Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…

ChromeDevTools/chrome-devtools-mcp · 99 tokens

systematic-debugging

Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.

open-metadata/OpenMetadata · 37 tokens

log-error-digest

Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…

zebbern/claude-code-guide · 71 tokens

deck-retro

Run a fully local agent-deck retrospective over the user's own transcripts, Recall index and logs. Use when a user wants to find recurring failures or take their own finding from investigation through synthetic reproduction, a user-filed issue, a test-first fix and contributor PR handoff. Also use for weekly usage…

asheshgoplani/agent-deck · 86 tokens

incident-response-incident-response

Coordinate production incident triage, mitigation, investigation, recovery, and follow-up. Use when responding to outages or other incidents that require structured operational coordination.

rmyndharis/antigravity-skills · 36 tokens

cwv-optimizer

Diagnose and fix Core Web Vitals issues on AEM Edge Delivery Services pages. Goes deeper than generic CWV advice by understanding EDS-specific performance patterns including the 100KB LCP budget, E-L-D loading phases, block rendering behavior, and third-party script impact. Produces specific fixes for LCP, CLS, and…

adobe/skills · 112 tokens