← Back to Skills Marketplace
anthonymq

IDFM Journey (PRIM/Navitia)

by anthonymq · GitHub ↗ · v0.1.0
cross-platform ✓ Security Clean
1471
Downloads
1
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install idfm-journey-navitia
Description
Query Île-de-France Mobilités (IDFM) PRIM/Navitia for place resolution, journey planning, and disruptions/incident checks. Use when asked to find routes in Île-de-France (e.g., "itinéraire de X à Y"), resolve station/stop ids, or check RER/metro line disruptions, and you have an IDFM PRIM API key.
README (SKILL.md)

IDFM Journey (PRIM/Navitia)

Use the bundled script to call PRIM/Navitia endpoints without extra dependencies.

Prereqs

  • Set IDFM_PRIM_API_KEY in the environment before running.

Quick commands

Run from anywhere (path is inside the skill folder):

  • Resolve places (best match + list):

    • python3 scripts/idfm.py places "Ivry-sur-Seine" --count 5

  • Journeys (free-text from/to; resolves place ids first):

    • python3 scripts/idfm.py journeys --from "Ivry-sur-Seine" --to "Boulainvilliers" --count 3

  • Incidents / disruptions (by line id or filter):

    • python3 scripts/idfm.py incidents --line-id line:IDFM:C01727
    • python3 scripts/idfm.py incidents --filter 'disruption.status=active'

Add --json to print raw API output.

Notes

  • If place resolution is ambiguous, increase --count and choose the right stop_area id.
  • For API details and examples, read: references/idfm-prim.md.
Usage Guidance
This skill appears to do exactly what it says: call Île‑de‑France PRIM/Navitia endpoints using your IDFM_PRIM_API_KEY. If you plan to install it: (1) only provide your IDFM API key if you trust the skill; the key is required to use the API. (2) Review the small script (it's pure Python, standard library) yourself if you can — it is readable and uses the documented PRIM base URL. (3) Be cautious if you or the agent override --base-url to an untrusted host, since that could send your API key elsewhere. Rotate the key if you suspect it was exposed.
Capability Analysis
Type: OpenClaw Skill Name: Developer: Version: Description: OpenClaw Agent Skill Suspicious High-Entropy/Eval files: 1 The skill bundle is benign. It provides a Python script to query the Île-de-France Mobilités (IDFM) PRIM/Navitia API for journey planning and disruptions. The script (`scripts/idfm.py`) correctly reads the `IDFM_PRIM_API_KEY` environment variable for authentication and makes HTTP GET requests exclusively to the legitimate `https://prim.iledefrance-mobilites.fr/marketplace/v2/navitia` endpoint. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, obfuscation, or prompt injection attempts in the `SKILL.md` that would subvert the agent's behavior beyond its stated purpose.
Capability Assessment
✓ Purpose & Capability
Name/description match the included script and reference doc. The only credential referenced (IDFM_PRIM_API_KEY) is exactly what the PRIM/Navitia API requires, and the script calls the documented Navitia endpoints.
✓ Instruction Scope
SKILL.md only instructs setting IDFM_PRIM_API_KEY and running the bundled Python script to call /places, /journeys, and /disruptions. The script does not read unrelated files, other env vars, or send data to unexpected external endpoints (default base URL is the official PRIM domain).
✓ Install Mechanism
There is no install spec (instruction-only with a small bundled script). No downloads or archive extraction are performed; the script uses only the Python standard library.
✓ Credentials
Only one environment variable is required (IDFM_PRIM_API_KEY), which is necessary and proportionate for authenticating to the IDFM PRIM API. No unrelated secrets or config paths are requested.
✓ Persistence & Privilege
Skill does not request permanent presence (always: false) and does not modify other skills or system-wide settings. It runs on demand and relies on the environment-provided API key.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install idfm-journey-navitia
  3. After installation, invoke the skill by name or use /idfm-journey-navitia
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Publish under alternative slug to validate registry visibility
Metadata
Slug idfm-journey-navitia
Version 0.1.0
License —
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is IDFM Journey (PRIM/Navitia)?

Query Île-de-France Mobilités (IDFM) PRIM/Navitia for place resolution, journey planning, and disruptions/incident checks. Use when asked to find routes in Île-de-France (e.g., "itinéraire de X à Y"), resolve station/stop ids, or check RER/metro line disruptions, and you have an IDFM PRIM API key. It is an AI Agent Skill for Claude Code / OpenClaw, with 1471 downloads so far.

How do I install IDFM Journey (PRIM/Navitia)?

Run "/install idfm-journey-navitia" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is IDFM Journey (PRIM/Navitia) free?

Yes, IDFM Journey (PRIM/Navitia) is completely free (open-source). You can download, install and use it at no cost.

Which platforms does IDFM Journey (PRIM/Navitia) support?

IDFM Journey (PRIM/Navitia) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created IDFM Journey (PRIM/Navitia)?

It is built and maintained by anthonymq (@anthonymq); the current version is v0.1.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463942 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259883 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200739 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191401 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190375 · by oswalpalash

💬 Comments