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 Teycir/SkillsGuard --skill prompt-injection-skillgit clone --depth 1 https://github.com/Teycir/SkillsGuardWrote 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/teycir/skillsguard/prompt-injection-skill)<a href="https://agentmods.dev/skills/teycir/skillsguard/prompt-injection-skill"><img src="https://agentmods.dev/badge/skills/teycir/skillsguard/prompt-injection-skill/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/teycir/skillsguard/prompt-injection-skill"><img src="https://agentmods.dev/badge/skills/teycir/skillsguard/prompt-injection-skill.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 | $0.00013 | $0.00052 |
| Opus 5.5 | $0.00005 | $0.00021 |
| Sonnet 5.5 | $0.00003 | $0.00010 |
| Haiku 4.5 | $0.00001 | $0.00005 |
Grade A, and why
prompt-injection-skill 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 1mo 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 16 lines · 13 tokens per session scan A 50f1bf5e0086
prompt-injection-skill is a skill published in the GitHub repository Teycir/SkillsGuard (15 stars, last pushed 4mo ago), with no licence file. It adds 13 tokens to every session and 52 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
figma-use-design-system
Build or edit Figma designs and components using the ( ) design system. Load alongside figma-use whenever a task targets / / products — reusing the published Variables, UI Kit, and Icons libraries (semantic tokens, text styles, effect/elevation styles, components) instead of hardcoding colors, spacing, type, or…
network-tools
Linux network tools and diagnostics.
pipefy-api-fallback
Use this skill when a toolkit operation fails AND the introspection skill could not resolve the problem. This is the last-resort fallback (Tier 3): call the Pipefy GraphQL API directly using curl or httpx, authenticating with the Service Account (OAuth2) or a Personal Access Token (PAT) available as env var. Follow…
team-coordination
Coordinate software development work by analyzing requirements, delegating tasks to specialized sub-agents (developer, code-reviewer, tester), and synthesizing their work into cohesive deliverables. Use this for complex projects that require multiple specialized perspectives.
feature-implementation
Implement software features, fix bugs, and write production-quality code. Use this for hands-on development work including writing new code, modifying existing code, and debugging issues.
contribute-broker
Skill for AI agents (Claude Code, OpenClaw, Cursor, etc.).