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 agentmods add skills/kxlsys/openskill/phishing-analysisnpx skills add KxlSys/OpenSkill --skill phishing-analysisgit clone --depth 1 https://github.com/KxlSys/OpenSkillWrote 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/kxlsys/openskill/phishing-analysis)<a href="https://agentmods.dev/skills/kxlsys/openskill/phishing-analysis"><img src="https://agentmods.dev/badge/skills/kxlsys/openskill/phishing-analysis.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.00154 |
| Opus 5 | $0.00005 | $0.00077 |
| Sonnet 5 | $0.00002 | $0.00031 |
| Haiku 4.5 | $0.00001 | $0.00015 |
Grade A, and why
phishing-analysis 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 3d 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.
What it actually says
Phishing Analysis
Lorsque l'utilisateur fournit un email :
- Analyser l'expéditeur (nom, domaine, SPF, DKIM, DMARC)
- Vérifier les URLs (redirections, domaines similaires, réputation)
- Identifier les indicateurs de phishing (urgence, menaces, fautes d'orthographe, demandes de données sensibles)
- Évaluer le niveau de risque global
- Produire un rapport détaillé
Rapport
Résumé
Indicateurs
Risque
Recommandations
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.
- 3d ago First seen · 30 lines · 11 tokens per session scan A 2b1c697f932b
phishing-analysis is a skill published in the GitHub repository KxlSys/OpenSkill (2 stars, last pushed 11d ago), licensed MIT. It adds 11 tokens to every session and 154 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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