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ivangdavila

Fishing

by Iván · GitHub ↗ · v1.0.0
linuxdarwinwin32 ✓ Security Clean
522
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Install in OpenClaw
/install fishing
Description
Track fishing spots, gear, catches, and conditions with personalized recommendations.
README (SKILL.md)

When to Use

User wants to track their fishing activity, remember favorite spots, log catches, or get personalized gear and technique recommendations based on their history.

Architecture

Memory lives in ~/fishing/. See memory-template.md for setup.

~/fishing/
├── memory.md          # HOT: preferences, gear, active spots
├── catches.md         # WARM: catch log with dates, species, conditions
├── spots.md           # WARM: saved locations with notes
└── archive/           # COLD: past seasons

Quick Reference

Topic File
Memory setup memory-template.md
Species guide species.md
Tackle reference tackle.md

Core Rules

1. Check Memory First

Before any recommendation, read ~/fishing/memory.md for:

  • User's gear inventory
  • Preferred species
  • Skill level
  • Local regulations they've noted

2. Log Catches Proactively

After user reports a catch, update ~/fishing/catches.md:

Date Species Weight Spot Conditions Technique
YYYY-MM-DD Bass 3.5 lb Lake X Cloudy, 65F Texas rig

3. Learn Spot Patterns

Track what works at each location in ~/fishing/spots.md:

  • Best times (dawn, dusk, tide)
  • Productive techniques
  • Seasonal notes

4. Personalize Recommendations

Use catch history to suggest:

  • "Last 3 bass at Lake X were on cloudy mornings with plastics"
  • "You haven't tried spot Y since spring—spawning season now"

5. Match Tackle to Inventory

Only recommend gear the user owns (from memory.md). If suggesting new gear, mark it clearly as a purchase suggestion.

Fishing Traps

  • Recommending gear user doesn't own → check inventory first
  • Generic advice ignoring history → always reference past catches
  • Forgetting seasonal patterns → review catches.md by month
  • Not updating spots.md → stale recommendations

Related Skills

Install with clawhub install \x3Cslug> if user confirms:

  • plan — trip planning
  • remind — trip reminders

Feedback

  • If useful: clawhub star fishing
  • Stay updated: clawhub sync
Usage Guidance
This skill is instruction-only and appears coherent: it will read and write files under ~/fishing/ (memory.md, catches.md, spots.md) and use the included templates and reference docs. It requests no network credentials or installs. Things to consider before installing: (1) the skill will store personal data (locations, catch logs, license info) in your home directory—avoid putting sensitive data (private coordinates, license numbers) in those files or protect them with filesystem permissions/encryption; (2) because it is instruction-only there is no hidden code to review, but also no enforced safeguards—run it on a device you trust or inspect/adjust the templates first; (3) verify the homepage/source if you want publisher accountability (registry owner ID is present but source is listed as unknown); and (4) if you ever add integrations (trip planners, reminders) review those skills' permissions separately. Overall the behavior is proportional to its purpose.
Capability Analysis
Type: OpenClaw Skill Name: fishing Version: 1.0.0 The skill bundle is benign. All files, including the SKILL.md and memory-template.md, align with the stated purpose of tracking fishing activity. The shell commands in memory-template.md (`mkdir`, `touch`) are for local file system setup within the designated `~/fishing/` directory and are not indicative of malicious intent or unauthorized access. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts designed to subvert the AI agent's core directives or access sensitive information outside the skill's scope.
Capability Assessment
Purpose & Capability
Name/description align with requested capabilities: it reads and writes a local fishing memory and log under ~/fishing/, uses species/tackle reference files, and offers recommendations based on that local history; nothing requested is unrelated to fishing.
Instruction Scope
SKILL.md explicitly confines operations to the ~/fishing/ directory (create files, read memory.md, update catches.md and spots.md). This is within scope for a tracking/recommendation skill; no instructions to read arbitrary system files or send data to third parties are present.
Install Mechanism
No install spec and no code files — instruction-only — so nothing is downloaded or written by an installer. Low surface area for supply-chain risk.
Credentials
The skill declares no required environment variables, binaries, or credentials. The only resource access is to a dedicated ~/fishing/ path, which is appropriate for a personal-tracking utility.
Persistence & Privilege
always is false and autonomous invocation is the platform default; the skill does not request permanent platform-level privileges or modify other skills/configs. It will persist user data only in its own ~/fishing/ directory per instructions.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install fishing
  3. After installation, invoke the skill by name or use /fishing
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug fishing
Version 1.0.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Fishing?

Track fishing spots, gear, catches, and conditions with personalized recommendations. It is an AI Agent Skill for Claude Code / OpenClaw, with 522 downloads so far.

How do I install Fishing?

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

Is Fishing free?

Yes, Fishing is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Fishing support?

Fishing is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).

Who created Fishing?

It is built and maintained by Iván (@ivangdavila); the current version is v1.0.0.

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