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-guess-forcing-auditorgit 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-guess-forcing-auditor)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-guess-forcing-auditor"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-guess-forcing-auditor/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-guess-forcing-auditor"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-guess-forcing-auditor.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 | $0.00115 | $0.01765 |
| Opus 5.5 | $0.00046 | $0.00706 |
| Sonnet 5.5 | $0.00023 | $0.00353 |
| Haiku 4.5 | $0.00012 | $0.00177 |
Grade A, and why
call-guess-forcing-auditor 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 19d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
call-guess-forcing-auditor
A record built from a forced guess is a fabricated record.
Most QA measures task completion. Almost none measure how the value was obtained. When a callee says "I'm not sure" and the agent answers "just roughly, your best guess?", the number that follows is pressure wearing the costume of data. If the agent then books it as firm, the business record is fiction. This skill reads a finished call transcript, detects that sequence turn by turn, and grades it.
Why This Skill Exists
- Gudjonsson (1984) defined interrogative suggestibility with two auditable constructs: Yield (accepting a suggested answer under pressure) and Shift (changing an answer after negative feedback).
- Hein et al. (2021) validated the Gudjonsson Suggestibility Scale 1 online, showing the behavior is a measurable, stable individual difference - auditable, not vibes.
- Chan et al. (2024, arXiv 2408.04681, with Loftus) showed an LLM interviewer induced over 3x more false memories than control (N=200), with misplaced confidence persisting a week.
- UNODC investigative-interviewing guidance (the PEACE model) prescribes open, non-coercive questioning - the standard this skill's craft protocol transplants to outbound calls.
When To Use
- after any CALL-E call where the agent collected a fact the callee seemed unsure about, as a QA gate on record integrity
- before deploying goal templates that ask for times, counts, or dates, to verify they never press for guesses
- in CI over fixture corpora, to catch templates whose phrasing invites best guesses
- alongside
call-leading-question-guard, which grades question form; this skill grades the pressure sequence after expressed uncertainty
Modes
Analyze a finished call
python3 scripts/guess_forcing_auditor.py analyze \
--call-result path/to/call-result.json
Accepts the real get_call_run result shape
({status, result: {transcript}}), a bare {transcript: [...]} dict, or
a flat turn list. Emits the report described under Input/Output.
What ships with it
11 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.
- data/example-goal.json 809 B
- data/fixtures/demo-guess-001.json 501 B
- data/fixtures/demo-guess-002.json 542 B
- data/fixtures/demo-guess-003.json 368 B
- data/fixtures/demo-guess-004.json 287 B
- data/fixtures/demo-guess-005.json 485 B
- references/examples.md 9.1 KB
- references/research-papers.md 2.5 KB
- references/safety.md 2.1 KB
- scripts/guess_forcing_auditor.py 20 KB runs code
- tests/test_guess_forcing_auditor.py 21 KB runs code
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.
- 19d ago First seen · 159 lines · 115 tokens per session scan A ae15d7a35d84
call-guess-forcing-auditor is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (112 stars, last pushed 4d ago), licensed MIT. It adds 115 tokens to every session and 1,765 once invoked, about $0.0005 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 2026-10-21.
call-guess-forcing-auditor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| call-guess-forcing-auditorCALLE-AI/awesome-phone-call-agents | Skill | 112 | 4d ago | MIT | A | 115 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |