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 GaZmagik · Codex Skill · ★ 170
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is iso-24495 safe to install? View the security audit →
ISO 24495 Plain Language Skills Six Agent Skills that support plain language writing, document audits, and organisational implementation. They apply principles inspired by the ISO 24495 Plain language series. The skills are plain files with agent-neutral wording. Any tool that reads the Agent Skills format can use them. This repository also packages them as a Claude Code plugin with an ISO 24495 output style (). Select the style with to hold every response to the core rules without relying on skill activation. Skills Organisational implementation (provisional). A task skill for plain language gap analysis in organisations: a process-artefact sweep, a corpus audit, a five-dimension maturity model with deterministic scoring, and an append-only audit tr
| Stars | 170 |
| Forks | 8 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.1913669719907/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-05 |
| Created | 2026-08-11 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~16k |
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iso-24495 is ISO 24495 Plain Language skills and Claude Code plugin. It is categorized as a Codex Skill with 170 GitHub stars.
iso-24495 is primarily written in TypeScript. It covers topics such as agent-skills, claude-code, claude-code-plugin.
You can find installation instructions and usage details in the iso-24495 GitHub repository at github.com/GaZmagik/iso-24495. The project has 170 stars and 8 forks, indicating an active community.
iso-24495 is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to iso-24495 on Agent Skills Hub include forgecat-agent-profiles, ok-skills, cursor-rules-java. 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: