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-list-capture-completeness-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-list-capture-completeness-auditor)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-list-capture-completeness-auditor"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-list-capture-completeness-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-list-capture-completeness-auditor"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-list-capture-completeness-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 | $0.00089 | $0.01860 |
| Opus 5.5 | $0.00036 | $0.00744 |
| Sonnet 5.5 | $0.00018 | $0.00372 |
| Haiku 4.5 | $0.00009 | $0.00186 |
Grade A, and why
call-list-capture-completeness-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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
call-list-capture-completeness-auditor
When a caller enumerates "a crib, late checkout, and a high floor", the agent's confirmation is a promise about that exact set. One item silently dropped - or one item invented - is the failure mode this auditor exists to catch.
This skill reads a finished call transcript, extracts the item lists the CALLEE enumerated (comma / "and" / "plus" chunked noun phrases), and grades the AGENT's readback: did it capture every item, and did it add nothing the caller never said? Twin craft mode embeds a readback-disciplined protocol into the goal before the call is placed.
Why This Skill Exists
- Liu et al., "Lost in the Middle" (TACL 2024, arXiv:2307.03172): retrieval degrades for mid-context information - so the readback must be audited against the FULL enumerated set, not just the most recent items.
- Laban et al., "Summary of a Haystack" / SummHay (EMNLP 2024 main, arXiv:2407.01370): even strong systems drop insights when condensing spread information - dropped-item detection is a real failure surface.
- Modarressi et al., "NoLiMa" (ICML 2025, arXiv:2502.05167): degradation is worst beyond literal matching - so item matching here uses paraphrase-tolerant token overlap, not exact strings.
- FAA Aeronautical Information Manual para 4-4-7 (ATC clearance/instruction readback): aviation institutionalized readback as mutual verification against misheard or incorrect items - the craft protocol transplants that discipline to phone agents.
When To Use
- after any CALL-E call where the callee enumerated requests, order lines, or change items, as a QA gate on the confirmation
- when a post_summary sounds like it merged or invented requests
- before placing booking/order calls, to craft a readback-disciplined goal template
- in CI over fixture corpora, to catch goal templates whose confirmation script drops or invents items
Modes
Analyze a finished call
python3 scripts/list_capture_completeness_auditor.py analyze \
--call-result path/to/call-result.json
What ships with it
12 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 681 B
- data/fixtures/demo-list-001.json 532 B
- data/fixtures/demo-list-002.json 457 B
- data/fixtures/demo-list-003.json 390 B
- data/fixtures/demo-list-004.json 337 B
- data/fixtures/demo-list-005.json 401 B
- data/fixtures/demo-list-006.json 391 B
- references/examples.md 11 KB
- references/research-papers.md 2.7 KB
- references/safety.md 2.3 KB
- scripts/list_capture_completeness_auditor.py 24 KB runs code
- tests/test_list_capture_completeness_auditor.py 23 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 · 163 lines · 89 tokens per session scan A d5c510ad8e16
call-list-capture-completeness-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 89 tokens to every session and 1,860 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 2026-10-21.
call-list-capture-completeness-auditor compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| call-list-capture-completeness-auditorCALLE-AI/awesome-phone-call-agents | Skill | 112 | 4d ago | MIT | A | 89 | 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 |