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 J-StaR-Films-Studios/VibeCode-Protocol-Suite --skill source-to-skillgit clone --depth 1 https://github.com/J-StaR-Films-Studios/VibeCode-Protocol-SuiteWrote 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/j-star-films-studios/vibecode-protocol-suite/source-to-skill)<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/source-to-skill"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/source-to-skill/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/j-star-films-studios/vibecode-protocol-suite/source-to-skill"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/source-to-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.01775 |
| Opus 5 | $0.00015 | $0.00888 |
| Sonnet 5 | $0.00006 | $0.00355 |
| Haiku 4.5 | $0.00003 | $0.00178 |
Grade A, and why
source-to-skill 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 10d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Source-to-Skill Compiler
Transform raw source materials into a structured, validated agent skill. The pipeline distills knowledge from sources, operationalizes it into methodology, and compiles a skill that encodes what a competent practitioner needs to do — not a summary of what the sources say.
Pipeline
Sources → Inventory → Extract → Synthesize → Compile → Validate → Deliver
Follow these phases in order. Each phase has a completion gate — do not advance until the gate is met.
Phase 1: Source Inventory
Catalogue every source the user provides.
For each source, record:
| Field | Content |
|---|---|
| ID | Short identifier (src-01, src-02, …) |
| Type | transcript / document / webpage / book / video-notes |
| Title | Source title or description |
| Authority | Creator and their domain credibility |
| Coverage | Topics this source addresses |
After cataloguing, identify coverage gaps: topics the user expects the skill to cover that no source addresses. Flag these to the user before proceeding.
Completion gate
- Every source has an inventory entry
- Coverage gaps identified and communicated to the user
Phase 2: Knowledge Extraction
Read each source. Extract knowledge units — atomic pieces of extractable knowledge. See knowledge-spec.md for the intermediate representation format.
Extraction priorities (in order)
- Procedures: What does the source teach you to do? Step sequences, decision points, ordering.
- Principles: What rules or heuristics govern those procedures? The reasoning behind steps.
- Constraints: What must hold true? Boundaries, prerequisites, invariants.
- Concepts: Domain terms the source defines or relies on. Definitions and relationships.
- Examples and counterexamples: Concrete cases showing correct and incorrect application.
Provenance
Every knowledge unit carries its source ID and location (chapter, timestamp, section, paragraph). Knowledge without provenance is inadmissible — discard it or ask the user to confirm the source.
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.
- 10d ago First seen · 219 lines · 31 tokens per session scan A 168da48697fe
source-to-skill is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (24 stars, last pushed 5d ago), licensed ISC. It adds 31 tokens to every session and 1,775 once invoked, about $0.0002 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.
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