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 skills/pradeepmouli/skillit/skillit-corenpx skills add pradeepmouli/skillit --skill skillit-coregit clone --depth 1 https://github.com/pradeepmouli/skillitWrote 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/pradeepmouli/skillit/skillit-core)<a href="https://agentmods.dev/skills/pradeepmouli/skillit/skillit-core"><img src="https://agentmods.dev/badge/skills/pradeepmouli/skillit/skillit-core.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 | $0.00019 | $0.00863 |
| Opus 5 | $0.00010 | $0.00432 |
| Sonnet 5 | $0.00004 | $0.00173 |
| Haiku 4.5 | $0.00002 | $0.00086 |
Grade A, and why
skillit-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 4d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@skillit/core
Shared types, SKILL.md renderer, and token budgeting for skillit plugins
When to Use
- You have one or more ExtractedSkill objects and need SKILL.md + references/ output
- Building a custom extraction pipeline that bypasses the TypeDoc plugin
- You need fine-grained control over rendering a single skill
- You have RenderedSkill objects from renderSkills() and need to persist them to the filesystem
- Building a custom pipeline that separates rendering from writing (e.g., for preview or dry-run)
- You need structured README sections for audit context or skill enrichment
- The audit engine calls this to check for Features and Troubleshooting sections
- You want programmatic quality feedback on JSDoc coverage before publishing skills
- Building a CI gate that blocks PRs with undocumented exports
- You have hand-written prose docs (tutorials, guides, architecture) in a docs/ directory
- You want these docs included alongside API skills for richer agent context
- You have ParsedMarkdownDoc objects from scanDocs() and need to attach them to an ExtractedSkill
- You want to include well-known root-level markdown files (ARCHITECTURE.md, MIGRATION.md, CONTRIBUTING.md) as documents
- Supplementing API skills with project-level documentation context
- You have an
examples/directory alongside source code - You want to link example files to the exported symbols they demonstrate
- You have scanned examples with
scanExamplesand want to attach them to - the relevant exported symbols inside an
ExtractedSkill
Avoid when:
- Rapid local iteration where audit noise slows you down — use the skillsAudit: false option instead
- Your docs/ directory contains only auto-generated API docs — they duplicate the TypeDoc output
- Your root directory has many auto-generated or release-tracking markdown files — use explicit include lists instead
- Your examples are embedded as
- API surface: 18 functions, 25 types
NEVER
- NEVER set maxTokens below 500 — reference files become truncated mid-signature, producing broken code blocks that confuse LLMs
- NEVER pass skills with empty
name— the output directory becomes a bare/path - NEVER set maxTokens below 500 — reference files become truncated mid-signature, producing broken code blocks
What ships with it
3 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.
- 4d ago First seen · 74 lines · 19 tokens per session scan A 82d8750c48b9
skillit-core is a skill published in the GitHub repository pradeepmouli/skillit (7 stars, last pushed 18d ago), licensed MIT. It adds 19 tokens to every session and 863 once invoked, about $0.0001 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 2026-08-31.
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