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 landmark-navigation-assistgit 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/landmark-navigation-assist)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/landmark-navigation-assist"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/landmark-navigation-assist/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/landmark-navigation-assist"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/landmark-navigation-assist.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 | $0.00096 | $0.01389 |
| Opus 5.5 | $0.00038 | $0.00556 |
| Sonnet 5.5 | $0.00019 | $0.00278 |
| Haiku 4.5 | $0.00010 | $0.00139 |
Grade A, and why
landmark-navigation-assist 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Landmark Navigation Assist
Purpose: Turns a pre-written, building-level location config into a CALL-E task instruction that guides a delivery driver (or repeat ride-hailing pickup) through the last few hundred meters to a specific building, using landmarks instead of GPS/text directions. Built for addresses where map pins and postal text routinely fail — landmark-based, informally-numbered, or newly-built areas — and the driver's own support call would otherwise be the fallback.
Not an address-reader. It's a guided conversation: the agent asks which direction the driver is approaching from, gives turn-by-turn landmark instructions for that direction, confirms the building by its distinguishing features, and only offers a human escalation contact if the driver is still stuck after being guided.
Key Features
- Config-driven, not hardcoded. One JSON config per physical building (see
references/location-config.schema.json), authored once and reused for every delivery to that address — this is what makes the skill reusable across locations rather than a one-off script for a single address. - Direction-aware disambiguation. The config supports multiple
approach_fromentries; the agent asks the driver which landmark they recognize and picks the matching guidance, rather than reading one fixed set of directions regardless of where the driver actually is. - In-call escalation only, driver-confirmed. If the driver is still stuck after being guided, the agent offers a human contact number — it never escalates automatically, and escalation resolves entirely within the same call (the agent reads the number aloud, the driver dials it themselves after hanging up). No webhook, no second outbound call, no SMS.
- Structured result, not free-text parsing. Pairs with CALL-E's
resultSchemato returnescalation_offered,escalation_number_revealed, andresolution_summaryas typed fields instead of requiring you to parse a transcript.
When to Use
What ships with it
7 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 · 90 lines · 96 tokens per session scan A 742b9b683572
landmark-navigation-assist is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 96 tokens to every session and 1,389 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 2026-09-15.
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