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 alekspetrov/navigator --skill example-generatedgit clone --depth 1 https://github.com/alekspetrov/navigatorWrote 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/alekspetrov/navigator/example-generated)<a href="https://agentmods.dev/skills/alekspetrov/navigator/example-generated"><img src="https://agentmods.dev/badge/skills/alekspetrov/navigator/example-generated/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/alekspetrov/navigator/example-generated"><img src="https://agentmods.dev/badge/skills/alekspetrov/navigator/example-generated.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 | $0.00033 | $0.00477 |
| Opus 5.5 | $0.00013 | $0.00191 |
| Sonnet 5.5 | $0.00007 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
example-feature-generator 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.
This is a copy
100% identical to example-feature-generator — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Example Feature Generator
This is an example of a generated skill created by nav-skill-creator.
When to Invoke
Auto-invoke when user says:
- "Create a new feature"
- "Add feature scaffolding"
- "Generate feature boilerplate"
What This Does
- Asks for feature name and type
- Analyzes existing features for patterns
- Generates feature files following project conventions
- Creates tests and documentation
Execution Steps
Step 1: Gather Feature Requirements
Ask user:
- Feature name (kebab-case)
- Feature type (API, UI, background job, etc.)
- Dependencies needed
- Testing requirements
Step 2: Analyze Existing Patterns
Use Task agent to explore codebase:
"Find existing features similar to [feature-type]:
- Locate feature files
- Identify structure patterns
- Extract naming conventions
- Find test patterns"
Step 3: Generate Feature Files
Use predefined function: functions/feature_generator.py
# Generates feature structure based on analysis
generate_feature(name, feature_type, config)
Creates:
- Feature implementation file
- Test file
- Configuration file (if needed)
- Documentation stub
Step 4: Validate Generated Files
Check:
- Files follow naming conventions
- Imports are correct
- Tests are generated
- Documentation is created
Step 5: Show Summary
Display created files and next steps for user.
Output Format
✅ Feature Created: [feature-name]
Files generated:
- features/[feature-name]/index.ts
- features/[feature-name]/[feature-name].test.ts
- features/[feature-name]/README.md
Next steps:
1. Implement feature logic in index.ts
2. Add test cases in [feature-name].test.ts
3. Document usage in README.md
This is an example - actual generated skills will vary based on project patterns
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 · 95 lines · 33 tokens per session scan A d6982507362b
example-feature-generator is a skill published in the GitHub repository alekspetrov/navigator (232 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 477 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to example-feature-generator, differing in 0 lines, and is treated as a copy.
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