No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Neeeophytee · Claude Skill · ★ 335
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is finding-unknowns-skills safe to install? View the security audit →
Finding-Unknowns Skills 8 installable skills that make Claude help you find what you don't know — before it gets expensive to fix. The map is not the territory. Your prompt is a map; the codebase and the real world are the territory. The gap between them is your unknowns, and with strong models the quality of the work is bottlenecked by how well you clarify them. These skills turn that idea, from Thariq Shihipar's essay A Field Guide to Fable: Finding Your Unknowns, into commands you can run in Claude Code, OpenAI Codex, or any agent that reads the agentskills.io SKILL.md format. Community project. Distilled, with attribution, from a public essay by Thariq Shihipar (Anthropic, Claude Code team). Not an official Anthropic repository. The idea in one table Every skill below is a cheap way to move something out of the bottom row before implementation makes it expensive. The skills | [](skills/brainstorm-prototypes/
| Stars | 335 |
| Forks | 26 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 66.6805607244332/100 |
| Last Updated | 2026-09-16 |
| Created | 2026-07-05 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~11k |
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finding-unknowns-skills is 13 installable skills for Claude Code, OpenAI Codex, and Hermes, for finding your unknowns before they get expensive: blindspot pass, brainstorms, interviews, references, plans, notes, pitches, a merg. It is categorized as a Claude Skill with 335 GitHub stars.
finding-unknowns-skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude.
You can find installation instructions and usage details in the finding-unknowns-skills GitHub repository at github.com/Neeeophytee/finding-unknowns-skills. The project has 335 stars and 26 forks, indicating an active community.
finding-unknowns-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to finding-unknowns-skills on Agent Skills Hub include awesome-ai-agent-skills, claude-workflow-v2, claude-codex-settings. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: