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 swarmclawai/swarmclaw --skill skill-creatorgit clone --depth 1 https://github.com/swarmclawai/swarmclawWrote 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/swarmclawai/swarmclaw/skill-creator)<a href="https://agentmods.dev/skills/swarmclawai/swarmclaw/skill-creator"><img src="https://agentmods.dev/badge/skills/swarmclawai/swarmclaw/skill-creator/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/swarmclawai/swarmclaw/skill-creator"><img src="https://agentmods.dev/badge/skills/swarmclawai/swarmclaw/skill-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 74 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
- high Rogue Agent · line 136 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00107 | $0.01254 |
| Opus 5 | $0.00053 | $0.00627 |
| Sonnet 5 | $0.00021 | $0.00251 |
| Haiku 4.5 | $0.00011 | $0.00125 |
Grade A, and why
skill-creator 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
Guidance for creating effective skills that extend SwarmClaw agent capabilities.
About Skills
Skills are modular, self-contained packages that provide specialized knowledge, workflows, and tools. They transform a general-purpose agent into a specialized one equipped with procedural knowledge that no model can fully possess.
What Skills Provide
- Specialized workflows — multi-step procedures for specific domains
- Tool integrations — instructions for working with specific file formats or APIs
- Domain expertise — company-specific knowledge, schemas, business logic
- Bundled resources — scripts, references, and assets for complex and repetitive tasks
Core Principles
Concise is Key
The context window is a shared resource. Only add context the agent doesn't already have. Challenge each piece of information: "Does the agent really need this explanation?" Prefer concise examples over verbose explanations.
Set Appropriate Degrees of Freedom
- High freedom (text instructions): Multiple valid approaches, context-dependent decisions
- Medium freedom (pseudocode/parameterized scripts): Preferred pattern exists, some variation OK
- Low freedom (specific scripts): Fragile operations, consistency critical, exact sequence required
Anatomy of a Skill
skill-name/
├── SKILL.md (required)
│ ├── YAML frontmatter (name + description, required)
│ └── Markdown instructions (required)
└── Bundled Resources (optional)
├── scripts/ — Executable code (Python/Bash/etc.)
├── references/ — Documentation loaded into context as needed
└── assets/ — Files used in output (templates, icons, fonts)
Frontmatter
name: Skill name (hyphen-case, lowercase)description: Primary triggering mechanism. Include what the skill does AND when to use it. All "when to use" info goes here — not in the body.
Scripts (scripts/)
Executable code for tasks that require deterministic reliability or are repeatedly rewritten. Token efficient and may be executed without loading into context.
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.
- 9d ago First seen · 148 lines · 107 tokens per session scan A 356a9bdf8b3b
skill-creator is a skill published in the GitHub repository swarmclawai/swarmclaw (667 stars, last pushed 2mo ago), licensed MIT. It adds 107 tokens to every session and 1,254 once invoked, about $0.0005 per session on Opus 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
agent-framework-py-release
Use when cutting a Python release for the microsoft/agent-framework monorepo. Triggers on "bump py versions", "cut a python release", "prepare release PR for python", "release py packages", "bump python to X.Y.Z", or similar requests to bump Python package versions and prepare a release PR. Handles all four lifecycle…
python-package-management
Guide for managing packages in the Agent Framework Python monorepo, including creating new connector packages, versioning, and the lazy-loading pattern. Use this when adding, modifying, or releasing packages.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
verify-samples-tool
How to use the verify-samples tool to run, verify, and manage sample definitions in the Agent Framework repository. Use this when adding, updating, or running sample verification.
python-feature-lifecycle
Guidance for package and feature lifecycle in the Agent Framework Python codebase, including stage meanings, feature-stage decorators, feature enums, and how to move APIs from one stage to the next.
python-testing
Guidelines for writing and running tests in the Agent Framework Python codebase. Use this when creating, modifying, or running tests.