exact-ref

exact-ref is a skill for Claude Code, Codex from CALLE-AI/awesome-phone-call-agents. It costs 47 tokens per session (1,332 once invoked), scanned A, original, MIT.

A safety check for exact identifiers heard during a phone call, such as a confirmation number, ticket number, order ID, or pickup number. It classifies the value before another system writes it into a record.

In plain words
What is it for?
Use it when a workflow must save an exact value extracted from a call. It checks the returned value and records whether it was only spoken, confirmed in conversation, mismatched, or independently verified.
Why use it?
A phone transcript can contain a plausible but incorrect identifier, and a successful read-back does not prove it is true. This prevents an unverified string from being treated as a fact.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: mentions Claude Code; mentions Codex; built for openclaw.

Good fit Use it when a workflow must save an exact value extracted from a call. It checks the returned value and records whether it was only spoken, confirmed in conversation, mismatched, or independently verified.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/exact-ref"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/exact-ref.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,332 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 $0.00047 $0.01332
Opus 5.5 $0.00019 $0.00533
Sonnet 5.5 $0.00009 $0.00266
Haiku 4.5 $0.00005 $0.00133

Measured 1mo ago against content hash d74e97b34f69, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

exact-ref 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/exactref.mjs), 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/exact-ref/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ExactRef

Use this skill when a CALL-E structured result contains an identifier that will be written into a record: confirmation number, ticket, off-hire reference, order id, pickup number.

This skill does not place a call. It compiles a safe outbound task, then gates the returned identifier with a character-level check and a named provenance state. Fixture replay is the default. Live CALL-E create is host-owned and fail-closed.

Hosts: any Agent Skills-compatible environment (Claude Code, Codex, Cursor, OpenClaw, skills.sh installs). Provider: CALL-E Calls API, Python/TypeScript SDK, CLI, or MCP get_call_run output. Side effects: none. The script reads a JSON file and prints a decision.

When to use

  • The next write depends on an exact character string from a phone call
  • CALL-E returned structured_result and someone is about to treat it as true
  • You need a readback protocol in the outbound task without leaking the intended value
  • Top-level status is queued and you must not create a second call

When not to use

  • The value is already on a portal, email, or paper — that is no_call
  • Medical, legal, emergency, or payment-card capture
  • Guessing a phone number, country, language, or run_id
  • Calling track_ui_events or any undocumented MCP tool
  • Treating MCP COMPLETED or Calls task_completed as permission to write

Run it (no install, no credentials)

scripts/exactref.mjs is a single zero-dependency Node 18+ file. Exit 0 only when the decision is writable, 2 when classified but blocked, 1 on bad input.

# The live 2026-09-05 miss: readback said yes, one letter is wrong → mismatch, exit 2
node scripts/exactref.mjs classify --intended 07198FECTIST --extracted 07198SECTIST --readback

# Gate a saved CALL-E call object (REST, SDK, `calle call status --json`, or MCP result{} envelope)
node scripts/exactref.mjs gate --call references/call-fs01.json --field identifier --intended 07198FECTIST

# Human typed the value from a written channel → independently_verified, exit 0
node scripts/exactref.mjs verify --intended 07198FECTIST --extracted 07198SECTIST --typed 07198FECTIST --second-channel

# Compile an outbound task; exit 2 if the intended value leaks into it
node scripts/exactref.mjs compile --field "off-hire reference" --destination "the supplier desk" --intended 07198FECTIST

# Self-check: re-classify every fixture, exit 1 if any disagrees with its expected provenance
node scripts/exactref.mjs fixtures

Read the full file on GitHub · 100 lines

Files

What ships with it

5 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. 1mo ago First seen · 100 lines · 47 tokens per session scan A d74e97b34f69

Subscribe to this mod's changes

exact-ref is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 1,332 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 2026-09-16.

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