local-intel
Skill2 starsChanged 5 months agoMITView on GitHub
Researches destination reputation from Reddit, YouTube, and web UGC to find real tips and traps. Use for 避坑, local tips, overrated sights, or validating tourist attractions.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- mistlemma/travel-plannertheir own version, first seen Nov 8, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- mistlemma/travel-planner★ 9same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository9 other files it gives its agents.
- AGENTS.mdAGENTS.md
- atlas-agentSkill
- budget-optimizerSkill
- currencySkill
- dietary-globalSkill
- transport-globalSkill
- travel-documentsSkill
- visa-entrySkill
- weatherSkill
The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 20
Use any available research tool:
- Distinctive: line 26
If Agent-Reach is installed, follow its routing for Reddit/YouTube.
- Distinctive: line 50
Prefer posts within 12 months
- Distinctive: line 53
Does not replace official hours/visa data
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Local Intel
Supplement official/reference data with community sentiment.
Sources
Use any available research tool:
- Web search:
site:reddit.com [city] itinerary,tourist trap,best time to visit - YouTube travel vlogs (note publish date; watch for sponsorships)
- Twitter/X, local forums
If Agent-Reach is installed, follow its routing for Reddit/YouTube.
Search Templates
| Goal | Query pattern |
| Itinerary ideas | reddit [destination] [N] days itinerary |
| Restaurant traps | reddit [city] restaurant tourist trap |
| Season | reddit best time visit [destination] |
| Crowds | reddit [city] [month] crowds closure |
Output
口碑摘要 — [destination]
高频推荐(≥3 sources): ...
高频避坑: ...
争议点: ...
信息时效: latest source YYYY-MM
来源: [URLs]Rules
- Prefer posts within 12 months
- Cross-check before removing a sight from itinerary
- Marketing/spam: new accounts pushing one venue = suspicious
- Does not replace official hours/visa data
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

