call-sycophancy-guard

call-sycophancy-guard is a skill for Claude Code, Codex from CALLE-AI/awesome-phone-call-agents. It costs 94 tokens per session (1,351 once invoked), scanned A, original, MIT.

A post-call transcript checker that looks for cases where a phone agent gives up a previously established fact after the other person challenges it. It classifies whether the agent held, gave in, verified, or ignored the issue.

In plain words
What is it for?
Use it after calls containing disputed facts, or before a call to create a goal that keeps known facts while still allowing verification.
Why use it?
An agent that agrees without evidence can turn a disputed price, date, or time into a false confirmation. This tool flags that change and routes it to verification rather than deciding who was right.

Skill for Claude CodeCodex

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

Good fit Use it after calls containing disputed facts, or before a call to create a goal that keeps known facts while still allowing verification.

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Install with agentmods
npx agentmods add skills/calle-ai/awesome-phone-call-agents/call-sycophancy-guard
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-sycophancy-guard
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-sycophancy-guard

README.md
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Your own site
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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-sycophancy-guard

Your own site · 80×15
<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-sycophancy-guard"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-sycophancy-guard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,351 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 $0.00094 $0.01351
Opus 5.5 $0.00038 $0.00540
Sonnet 5.5 $0.00019 $0.00270
Haiku 4.5 $0.00009 $0.00135

Measured 26d ago against content hash 5da3da51e106, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

call-sycophancy-guard 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/sycophancy_guard.py, scripts/test_sycophancy_guard.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-sycophancy-guard/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

call-sycophancy-guard

An agent that agrees with everything confirms nothing.

Language models are demonstrably sycophantic: trained on human feedback, they affirm users far more often than humans do, and that behavior survives into deployed assistants. On a phone call this has a specific cost: the callee pushes back on a fact - "no, it's $50" - and the agent folds, not because it saw evidence, but because agreeing is polite. The closing confirmation then repeats the adopted value, and whatever parses that outcome writes a fact nobody established. This skill catches exactly that sequence.

When To Use

  • after any CALL-E call whose result contains amounts, dates, or times the callee disputed, and before the outcome is written anywhere
  • with the goal text (or plan JSON) the call was built from, so ground facts can be extracted and checked against adopted values
  • before placing a fact-bearing call, to craft a goal that holds facts without being rude

When Not To Use

  • to prove the callee was wrong: a capitulation is an unverified stance switch, and the callee holding a paper invoice may well be right; the card routes to verification, never to reversal
  • to detect emotional pressure or hostility; use call-fraud-shield for scam patterns and call-emotional-contagion-monitor for affect
  • during a call; this is strictly post-call analysis plus pre-call goal crafting, because CALL-E exposes transcripts, not live audio

Workflow

Audit a finished call

python3 scripts/sycophancy_guard.py analyze --transcript path/to/call-result.json \
  [--goal-file path/to/goal.txt]

Reads the real get_call_run result shape ({status, result: {transcript}}) or the flat shape used by sibling skill fixtures. The goal file is plain text or a JSON with a goal field. Emits a card:

  • goal_facts: amounts, dates, times extracted from the goal text
  • pushback_events[]: turn index, masked span, the responding agent turn, and its stance:
    • HOLDS - restates the record ("our records show $45")
    • CAPITULATES - adopts the contradicting value ("you're right, it is $50") without verifiable evidence
    • VERIFIES - defers to an independent channel (statement number, callback colleague, transfer)
    • UNADDRESSED - pivots away
  • outcome_taint: true when a capitulated value (a digit absent from the goal facts) reappears in a closing confirmation turn
  • verdict: CLEAN / PRESSURE_TAINTED / UNCERTAIN (UNCERTAIN when pushback was left unaddressed; stance classification runs without a goal file too, but goal facts are then empty and the taint check keys on the transcript's digits alone)
  • fields_to_verify_via_second_channel and the matching recommended action

Read the full file on GitHub · 108 lines

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 · 108 lines · 94 tokens per session scan A 5da3da51e106

Subscribe to this mod's changes

call-sycophancy-guard is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 94 tokens to every session and 1,351 once invoked, about $0.0004 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.

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