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/paulbreuler/limps/000-skill-loader-coregit clone --depth 1 https://github.com/paulbreuler/limpsWhat 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 | $0.00397 |
| Opus 5 | $0.00000 | $0.00198 |
| Sonnet 5 | $0.00000 | $0.00079 |
| Haiku 4.5 | $0.00000 | $0.00040 |
Grade A, and why
000-skill-loader-core 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 3d 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
Agent 000: Skill Loader Core
Objective
Build the core skill loading infrastructure that reads SKILL.md files from dist/skills/ with progressive disclosure support.
Tasks
-
Define skill types (
src/skills/types.ts)SkillMetadata: name, description, version, tags, allowed-toolsSkillContent: full SKILL.md contentSkillResource: reference files, templates
-
Implement SkillLoader class (
src/skills/loader.ts)listSkills(): Return metadata only (Tier 1)loadSkill(name): Return full content (Tier 2)loadResource(skill, path): Return specific resource (Tier 3)- Auto-discover skills from
dist/skills/directory
-
Create initial skill (
dist/skills/limps-planning/SKILL.md)- Follow Anthropic Agent Skills Standard format
- Include frontmatter with required fields
- Document core limps workflow
Acceptance Criteria
-
SkillLoader.listSkills()returns array of metadata objects -
SkillLoader.loadSkill('limps-planning')returns full SKILL.md content - Skills directory structure follows Anthropic standard
- Metadata extraction uses < 100 tokens per skill
- Full skill content uses < 5k tokens
Technical Notes
- Use gray-matter for frontmatter parsing
- Skills are read-only (no write operations)
- Path resolution must work in both dev and production
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.
- 3d ago First seen · 50 lines · 0 tokens per session scan A 9507fd90d218
000-skill-loader-core is an agent published in the GitHub repository paulbreuler/limps (10 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 397 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.
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