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 thedaviddias/skill-check --skill split-into-referencesgit clone --depth 1 https://github.com/thedaviddias/skill-checkWrote 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/thedaviddias/skill-check/split-into-references)<a href="https://agentmods.dev/skills/thedaviddias/skill-check/split-into-references"><img src="https://agentmods.dev/badge/skills/thedaviddias/skill-check/split-into-references/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/thedaviddias/skill-check/split-into-references"><img src="https://agentmods.dev/badge/skills/thedaviddias/skill-check/split-into-references.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00310 |
| Opus 5.5 | $0.00000 | $0.00124 |
| Sonnet 5.5 | $0.00000 | $0.00062 |
| Haiku 4.5 | $0.00000 | $0.00031 |
Grade A, and why
split-into-references 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 1mo 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
split-into-references
Use when
Use when skill-check reports body.max_lines and you need to modularize a long SKILL.md into maintainable references/*.md docs after running split-body.
Workflow
- Run preview first:
npx skill-check split-body <skill-dir-or-file>
- Apply deterministic split:
npx skill-check split-body <skill-dir-or-file> --write
- Edit generated references docs to improve readability:
- tighten headings so each file has one clear purpose
- add a 1-3 line summary at the top of each references file
- remove duplicated steps across references files
- Keep
SKILL.mdconcise:- preserve "Use when", constraints, and expected outcomes
- keep
## Referenceslinks current and descriptive
- Validate:
npx skill-check check <skill-dir-or-file> --no-security-scan
Quality checklist
- The main
SKILL.mdstays short and scannable. - Each references file is focused and linkable.
- Links under
## Referencesresolve and match file names. - No critical instruction is lost during extraction.
Before/After pattern
Before:
- one very long
SKILL.mdcontaining all operational details.
After:
- concise
SKILL.mdwith intent + constraints +## References - multiple
references/*.mdfiles for detailed procedures.
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.
- 1mo ago First seen · 38 lines · 0 tokens per session scan A 80d085dff908
split-into-references is a skill published in the GitHub repository thedaviddias/skill-check (194 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 310 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 2026-08-30.
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