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/akashkedian26/claude-code-workspace/skills-loadergit clone --depth 1 https://github.com/akashkedian26/claude-code-workspaceWrote 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/akashkedian26/claude-code-workspace/skills-loader)<a href="https://agentmods.dev/agents/akashkedian26/claude-code-workspace/skills-loader"><img src="https://agentmods.dev/badge/agents/akashkedian26/claude-code-workspace/skills-loader.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 5.1 | $0.00000 | $0.00157 |
| Opus 5 | $0.00000 | $0.00078 |
| Sonnet 5 | $0.00000 | $0.00031 |
| Haiku 4.5 | $0.00000 | $0.00016 |
Grade A, and why
skills-loader 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 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.
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.
What it actually says
Skills Loader
Purpose: Load specialized agents only when needed.
Available skills:
PRD Agent file: ~/ai/agents/prd-agent.md
Use when:
- PRD creation
- feature planning
- product discovery
Data Query Agent file: ~/ai/agents/dataquery-agent.md
Use when:
- SQL queries
- data analysis
- product data questions
FigJam Agent file: ~/ai/agents/figjam-agent.md
Use when:
- creating diagrams and boards
- user flows, product flows, process flows
- any product discovery or planning visual
Process:
- Inspect user request
- Determine if skill is required
- Load only that agent file
- Execute instructions
Never load all skills by default.
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 · 40 lines · 0 tokens per session scan A db48839cd378
skills-loader is an agent published in the GitHub repository akashkedian26/claude-code-workspace (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 157 tokens. 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 2026-08-31.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.