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 agentmods add agents/vladkesler/initrunner/skills_featuregit clone --depth 1 https://github.com/vladkesler/initrunnerWrote 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/vladkesler/initrunner/skills_feature)<a href="https://agentmods.dev/agents/vladkesler/initrunner/skills_feature"><img src="https://agentmods.dev/badge/agents/vladkesler/initrunner/skills_feature.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.03666 |
| Opus 5 | $0.00000 | $0.01833 |
| Sonnet 5 | $0.00000 | $0.00733 |
| Haiku 4.5 | $0.00000 | $0.00367 |
Grade C, and why
skills_feature scanned grade C with 1 finding 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 5d 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.
Instruction-override phrasinghighPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
- The role's `SecurityPolicy` applies to **all** tools, including those contributed by skills. Skills cannot weaken or bypass security policies. How it starts
The opening of the file, as written. The whole thing — 418 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skills — Reusable Tool & Prompt Bundles
Skills are self-contained bundles of tools and system prompt instructions packaged as Markdown files. They enable composition and reuse across agents — define a capability once, reference it from any role. Skills use the SKILL.md format (compatible with the agentskills.io standard) with InitRunner extensions for tool configs and requirements.
Quick Start
Create a skill:
initrunner skill new web-researcher
This creates web-researcher/SKILL.md:
---
name: web-researcher
description: Web research tools for fetching and reading web pages.
tools:
- type: web_reader
timeout_seconds: 15
- type: http
base_url: https://httpbin.org
allowed_methods: [GET]
---
You have web research capabilities. Use fetch_page to read web pages
and http_request for API calls. Always summarize findings concisely.
Reference it from a role:
name: my-agent
description: Agent with skills
model: openai:gpt-5-mini
prompt: |
You are a helpful research assistant.
skills:
- web-researcher
tools:
- datetime
Validate and list skills:
initrunner skill validate web-researcher/
initrunner skill list
SKILL.md Format
A SKILL.md file has two parts: YAML frontmatter (delimited by ---) and a Markdown body that becomes the skill's system prompt contribution.
Frontmatter Fields
Standard agentskills.io fields:
| Field | Type | Default | Description |
|---|---|---|---|
name |
str |
(required) | Skill identifier. Must match ^[a-z0-9][a-z0-9-]*[a-z0-9]$. |
description |
str |
(required) | Human-readable description of what the skill provides. |
license |
str |
"" |
License identifier (e.g. "MIT"). |
compatibility |
str |
"" |
Compatibility notes (e.g. required tool types). |
metadata |
dict[str, str] |
{} |
Arbitrary key-value metadata (author, version, tags, etc.). |
allowed_tools |
str |
"" |
Tool allowlist (agentskills.io standard field). |
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.
- 5d ago First seen · 418 lines · 0 tokens per session scan C 5406117ae75e
skills_feature is an agent published in the GitHub repository vladkesler/initrunner (41 stars, last pushed 4d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 3,666 tokens. A static security scan graded it C with 1 finding (instruction-override phrasing). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
unittest-generator
Use this agent when you need to create unit tests for your code in unittest.TestCase format, organized in a tests folder with concept-based subfolders. Examples: Context: User has just written a new authentication module and needs comprehensive unit tests. user: 'I just finished writing my user authentication…
harness-radar
Weekly movement briefing on the AI agent harness space — what climbed, what entered the radar, what died — from the best-of-Agent-Harnesses dataset, which rescores itself every week. Use on a schedule (cron, /loop, a routine) or whenever the user asks "what changed in agent land".
security-reviewer
보안 취약점 전문 분석. 인프라 우선 접근(시크릿→의존성→CI/CD→LLM→코드). OWASP Top 10 + STRIDE. "보안 리뷰", "security review", "취약점 분석" 요청에 자동 실행.
database-mysql
MySQL database specialist. Schema design, query optimization, migrations. Runs on "database design", "MySQL query", "schema optimization" requests.
writing-specialist
글쓰기 통합 전문가. 사업 문서, 학술 논문, 이메일, 프레젠테이션, README까지 "사람이 읽을 글" 전체를 커버. AI 패턴 제거 + Strunk 규칙 자동 적용. "글 써줘", "이메일", "제안서", "보고서", "논문", "README", "톤 조절" 요청에 실행.
documentation
Technical documentation specialist. Creates PRD, API docs, implementation tracking, changelogs. Runs on "write docs", "create PRD", "API documentation" requests.