claude-skills is a large collection of reusable skills, commands, plugins, and supporting resources for coding agents across engineering, business, research, compliance, and productivity work. It is used by people who want agents such as Claude Code, Codex, Gemini CLI, or Cursor to follow specialized workflows. The catalogue contains selected skills and settings from the collection.
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 alirezarezvani/claude-skills --skill hard-callgit clone --depth 1 https://github.com/alirezarezvani/claude-skillsWrote 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/alirezarezvani/claude-skills/hard-call)<a href="https://agentmods.dev/skills/alirezarezvani/claude-skills/hard-call"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/hard-call/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/alirezarezvani/claude-skills/hard-call"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/hard-call.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00060 | $0.01640 |
| Opus 5.5 | $0.00024 | $0.00656 |
| Sonnet 5.5 | $0.00012 | $0.00328 |
| Haiku 4.5 | $0.00006 | $0.00164 |
Grade A, and why
hard-call 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 today.
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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/em:hard-call — Framework for Decisions With No Good Options
Command: /em:hard-call <decision>
For the decisions that keep you up at 3am. Firing a co-founder. Laying off 20% of the team. Killing a product that customers love. Pivoting. Shutting down.
These decisions don't have a right answer. They have a less wrong answer. This framework helps you find it.
Why These Decisions Are Hard
Not because the data is unclear. Often, the data is clear. They're hard because:
- Real people are affected — someone loses a job, a relationship ends, a team is hurt
- You've been avoiding the decision — which means the problem is already worse than it was
- Irreversibility — unlike most business decisions, you can't undo this easily
- You have skin in the game — your judgment about the right call is clouded by your feelings about it
The longer you avoid a hard call, the worse the situation usually gets. The company that needed a 10% cut 6 months ago now needs a 25% cut. The co-founder conversation that should have happened at month 4 is happening at month 14.
Most hard decisions are late decisions.
The Framework
Step 1: The Reversibility Test
The most important question first: can you undo this?
- Reversible — try it, learn, adjust (fire the vendor, kill the feature, change the strategy)
- Partially reversible — painful to undo but possible (restructure, change co-founder roles)
- Irreversible — cannot be undone (layoff a person, shut down a product with customer lock-in, close a legal entity)
For irreversible decisions, the bar for certainty is higher. You must do more due diligence before acting. Not because you might be wrong — but because you can't take it back.
If you're treating a reversible decision like it's irreversible, you're avoiding it.
Step 2: The 10/10/10 Framework
Ask three questions about each option:
- 10 minutes from now: How will you feel immediately after making this decision?
- 10 months from now: What will the impact be? Will the problem be solved?
- 10 years from now: When you look back, will this have been the right call?
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.
- today First seen · 158 lines · 60 tokens per session scan A 39aaad9cd0c1
hard-call is a skill published in the GitHub repository alirezarezvani/claude-skills (28,607 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 1,640 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 2026-10-24.
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