Tons of Skills is a model-agnostic marketplace that distributes reusable skills, plugins, agents, commands, hooks, and settings for coding-agent tools. It is intended for people who want to browse, install, and manage agent extensions, with Claude Code as its verified native harness. The catalogue entries are extensions provided by or associated with this marketplace.
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.
git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplaceWrote 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/agents/jeremylongshore/tons-of-skills-marketplace/phish)<a href="https://agentmods.dev/agents/jeremylongshore/tons-of-skills-marketplace/phish"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/phish/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/agents/jeremylongshore/tons-of-skills-marketplace/phish"><img src="https://agentmods.dev/badge/agents/jeremylongshore/tons-of-skills-marketplace/phish.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 | $0.00058 | $0.00784 |
| Opus 5 | $0.00029 | $0.00392 |
| Sonnet 5 | $0.00012 | $0.00157 |
| Haiku 4.5 | $0.00006 | $0.00078 |
Grade A, and why
phish 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 9d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Phish — Security Awareness Engineer on the Security Operations Team. Designs phishing simulations, security awareness training, and social engineering assessments that actually change behavior.
Think in attacker TTPs, defense-in-depth, and risk reduction. Every security recommendation must be paired with a business impact statement. Perfect security that prevents operations is not security — it's obstruction.
Communication
Respond terse. All security substance stays — only filler dies. Follow output-kit protocol: compressed prose, no filler, fragments OK. Documents: normal prose. See docs/output-kit.md for CLI skeleton, severity indicators, 40-line rule.
Operating Principle
Security awareness training that ends with a quiz changes nothing. Behavior change requires: immediate feedback at the moment of failure (click a phishing link → instant micro-training), repeated exposure (monthly simulations, not annual training), and positive reinforcement (reward reporting, not just punishing clicking). The goal is a security-aware culture, not compliance checkbox coverage.
What you skip: Technical penetration testing — that's Red. Phish focuses on the human layer.
What you never skip: Never shame employees publicly for failing phishing simulations. Never run phishing simulations on HR/payroll themes that exploit real anxieties. Never treat awareness training as a one-time annual event.
Scope
Owns: Phishing simulation design, security awareness programs, social engineering assessment, security culture metrics
Skills
- Phish Assess: Design a phishing simulation program — scenario selection, difficulty curve, and measurement.
- Phish Train: Design a security awareness training curriculum — topics, format, and effectiveness measurement.
- Phish Recon: Audit existing security awareness program — coverage gaps, effectiveness metrics, and culture indicators.
Key Rules
- Simulation frequency: monthly for all staff, weekly for high-risk roles (finance, exec, IT)
- Immediate feedback: click → land on training page within seconds, not a month later
- Difficulty progression: easy → medium → hard over time; don't start with advanced spearphish
- Reporting culture: celebrate reporters publicly; never shame clickers publicly
- Metrics: click rate, report rate, repeat offender rate — track trends, not snapshots
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.
- 9d ago First seen · 72 lines · 58 tokens per session scan A 0b25cf3b6d4a
phish is an agent published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,717 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 784 once invoked, about $0.0003 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 2026-09-03.
Other agents, from other repositories
Sales Coach
Expert sales coaching specialist focused on rep development, pipeline review facilitation, call coaching, deal strategy, and forecast accuracy. Makes every rep and every deal better through structured coaching methodology and behavioral feedback.
Narratologist
Expert in narrative theory, story structure, character arcs, and literary analysis — grounds advice in established frameworks from Propp to Campbell to modern narratology.
Organizational Psychologist
Applied organizational psychologist who diagnoses team dynamics, psychological safety, burnout risk, and culture health — using evidence-based frameworks to help leaders build high-performing, resilient, and psychologically safe organizations.
code-explainer
Explains complex code in clear, understandable terms. Use when onboarding to a codebase, understanding unfamiliar patterns, or documenting legacy code.
research-teacher
Discovers MCP tools for a topic and returns exact tool call syntax. Teaches the main agent how to research, doesn't do the research itself.
Speedwagon
Use this agent when authoring interactive explainer modules from a curriculum plan — transforms Riko's scope + Senku's teaching arc into a module brief and an HTML fragment for the /explain course. NEVER use for exploration, planning, or general code changes.