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 exact-refgit 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/exact-ref)<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.
<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>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 | $0.00047 | $0.01332 |
| Opus 5.5 | $0.00019 | $0.00533 |
| Sonnet 5.5 | $0.00009 | $0.00266 |
| Haiku 4.5 | $0.00005 | $0.00133 |
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.
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 — 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_resultand 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
queuedand 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_eventsor any undocumented MCP tool - Treating MCP
COMPLETEDor Callstask_completedas 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
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.
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.
- 1mo ago First seen · 100 lines · 47 tokens per session scan A d74e97b34f69
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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