Agent Skills Platform turns documented work and supporting evidence into tested, installable skills for coding agents. Teams use it to review, publish, maintain, and safely reuse agent workflows, with the catalogue entries serving as skills and plugins built for that ecosystem.
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 FrancyJGLisboa/agent-skill-creator --skill stock-analyzergit clone --depth 1 https://github.com/FrancyJGLisboa/agent-skill-creatorWrote 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/francyjglisboa/agent-skill-creator/stock-analyzer)<a href="https://agentmods.dev/skills/francyjglisboa/agent-skill-creator/stock-analyzer"><img src="https://agentmods.dev/badge/skills/francyjglisboa/agent-skill-creator/stock-analyzer/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/francyjglisboa/agent-skill-creator/stock-analyzer"><img src="https://agentmods.dev/badge/skills/francyjglisboa/agent-skill-creator/stock-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.03194 |
| Opus 5.5 | $0.00019 | $0.01278 |
| Sonnet 5.5 | $0.00010 | $0.00639 |
| Haiku 4.5 | $0.00005 | $0.00319 |
Grade A, and why
stock-analyzer 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 — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stock Analyzer Skill - Technical Specification
Version: 1.0.0 Type: Simple Skill Domain: Financial Technical Analysis Created: 2025-10-23
Overview
The Stock Analyzer Skill provides comprehensive technical analysis capabilities for stocks and ETFs, utilizing industry-standard indicators and generating actionable trading signals.
Purpose
Enable traders and investors to perform technical analysis through natural language queries, eliminating the need for manual indicator calculation or chart interpretation.
Core Capabilities
- Technical Indicator Calculation: RSI, MACD, Bollinger Bands, Moving Averages
- Signal Generation: Buy/sell recommendations based on indicator combinations
- Stock Comparison: Rank multiple stocks by technical strength
- Pattern Recognition: Identify chart patterns and price action setups
- Monitoring & Alerts: Track stocks and alert on technical conditions
Activation
This skill activates through the description field in the SKILL.md frontmatter. The description contains 60+ keywords that enable Claude's natural language understanding to match user queries reliably.
Key terms embedded in the description:
- Action verbs: analyze, compare, monitor, track
- Domain entities: stocks, ETFs, tickers
- Specific indicators: RSI, MACD, Bollinger Bands, moving averages
- Use cases: buy/sell signals, comparison, monitoring, chart patterns
- Counter-examples: fundamental analysis, news, options pricing
Activation reliability: 95%+ across tested query variations
Architecture
Type Decision
Chosen: Simple Skill
Reasoning:
- Estimated LOC: ~600 lines
- Single domain (technical analysis)
- Cohesive functionality
- No sub-skills needed
Component Structure
stock-analyzer/
├── SKILL.md # Skill definition and activation (this file)
├── scripts/
│ ├── main.py # Orchestrator
│ ├── indicators/
│ │ ├── rsi.py # RSI calculator
│ │ ├── macd.py # MACD calculator
│ │ └── bollinger.py # Bollinger Bands
│ ├── signals/
│ │ └── generator.py # Signal generation logic
│ ├── data/
│ │ └── fetcher.py # Data retrieval
│ └── utils/
│ └── validators.py # Input validation
├── README.md # User documentation
└── requirements.txt # Dependencies
What ships with it
22 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.
- .claude-plugin/marketplace.json 819 B
- discovery.json 2.0 KB
- evals/golden/case-1/expected.json 683 B
- evals/golden/case-1/input.json 50 B
- evals/golden/case-2/expected.json 890 B
- evals/golden/case-2/input.json 63 B
- evals/golden/case-3/expected.json 436 B
- evals/golden/case-3/input.json 43 B
- evals/stock-analyzer.eval.md 2.5 KB
- EVOLUTION.md 875 B
- README.md 11 KB
- requirements.txt 541 B
- scripts/dependency_health.py 3.9 KB runs code
- scripts/evolve.py 8.2 KB runs code
- scripts/main.py 12 KB runs code
- scripts/review_staleness.py 6.2 KB runs code
- scripts/run_evals.py 47 KB runs code
- scripts/run_pipeline.py 2.1 KB runs code
- scripts/schema_drift.py 7.3 KB runs code
- scripts/skill_document.py 9.8 KB runs code
- scripts/staleness_check.py 7.5 KB runs code
- scripts/success_ledger.py 16 KB runs code
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 · 424 lines · 48 tokens per session scan A 5b56aebdaaf2
stock-analyzer is a skill published in the GitHub repository FrancyJGLisboa/agent-skill-creator (2,407 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 3,194 once invoked, about $0.0002 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 2026-08-30.
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