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 agent-engineeringgit 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/agent-engineering)<a href="https://agentmods.dev/skills/j-star-films-studios/vibecode-protocol-suite/agent-engineering"><img src="https://agentmods.dev/badge/skills/j-star-films-studios/vibecode-protocol-suite/agent-engineering.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 31 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00096 | $0.01031 |
| Opus 5 | $0.00048 | $0.00515 |
| Sonnet 5 | $0.00019 | $0.00206 |
| Haiku 4.5 | $0.00010 | $0.00103 |
Grade A, and why
agent-engineering 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 8d 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Engineering Suite
Comprehensive suite for prompt engineering, agent steering rules, domain dictionaries (CONTEXT.md), task decomposition DAGs, and subagent orchestration.
[!IMPORTANT] Foundational Guide: When authoring or editing any skill,
AGENTS.md, or subagent prompt, readwriting-for-agents/SKILL.mdandwriting-for-agents/SKILL-MECHANICS.mdfirst to ensure tight context pointers and zero token waste.
Sub-Skills
| Sub-Skill | Purpose | Path |
|---|---|---|
writing-for-agents |
Core rules for writing skills, AGENTS.md, context pointers, and router mechanics | writing-for-agents/SKILL.md |
skill-curator |
Intake, standardize, classify, and wire new skills into the ecosystem | skill-curator/SKILL.md |
skill-creator |
Scaffolding new agent skills following repository conventions | skill-creator/SKILL.md |
source-to-skill |
Distill raw sources (docs, books, transcripts, PDFs) into operational agent skills | source-to-skill/SKILL.md |
expert-system-engineer |
Engineer CommonKADS knowledge models, MYCIN rule systems, and inference engines | expert-system-engineer/SKILL.md |
domain-modeling |
Generates CONTEXT.md ubiquitous language glossary with _Avoid_ anti-synonyms and ADRs |
domain-modeling/SKILL.md |
conversation-to-spec |
Synthesizes chat discussions into formal technical specifications | conversation-to-spec/SKILL.md |
spawn-task |
Decomposes specs into tracer-bullet vertical slice task packets with blocking DAGs | spawn-task/SKILL.md |
to-questionnaire |
Generates async questionnaires for domain experts and external stakeholders | to-questionnaire/SKILL.md |
arena |
Spawns parallel candidate implementations and blind-judges the strongest solution | arena/SKILL.md |
automate-me |
Scans terminal history and repeated workflows to produce new agent skills and scripts | automate-me/SKILL.md |
reflect |
Spawns 3 review subagents over transcripts to extract learnings and patch skills | reflect/SKILL.md |
create-verification-skill |
Generates project-local verification harnesses driving apps end-to-end | create-verification-skill/SKILL.md |
maintain-verification-skill |
Audits and updates project verification harnesses as code evolves | maintain-verification-skill/SKILL.md |
subagent-driven-development |
Parallel subagent orchestration and implementation task loops | subagent-driven-development/SKILL.md |
prompt-engineering |
Advanced prompting patterns, meta-prompts, and eval harnesses | prompt-engineering/SKILL.md |
optimize-agent-context |
Optimizing context windows and rule files | optimize-agent-context/SKILL.md |
crafting-effective-readmes |
Writing structured repository documentation | crafting-effective-readmes/SKILL.md |
What ships with it
55 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.
- arena/SKILL.md 5.2 KB
- automate-me/SKILL.md 7.6 KB
- conversation-to-spec/SKILL.md 3.0 KB
- crafting-effective-readmes/references/art-of-readme.md 24 KB
- crafting-effective-readmes/references/make-a-readme.md 6.5 KB
- crafting-effective-readmes/references/standard-readme-example-maximal.md 1.5 KB
- crafting-effective-readmes/references/standard-readme-example-minimal.md 169 B
- crafting-effective-readmes/references/standard-readme-spec.md 9.6 KB
- crafting-effective-readmes/section-checklist.md 680 B
- crafting-effective-readmes/SKILL.md 2.6 KB
- crafting-effective-readmes/style-guide.md 434 B
- crafting-effective-readmes/templates/internal.md 1.9 KB
- crafting-effective-readmes/templates/oss.md 1.6 KB
- crafting-effective-readmes/templates/personal.md 1.1 KB
- crafting-effective-readmes/templates/xdg-config.md 1.4 KB
- crafting-effective-readmes/using-references.md 1.3 KB
- create-verification-skill/references/feature-map-example/create-note.md 2.9 KB
- create-verification-skill/references/feature-map-example/README.md 2.5 KB
- create-verification-skill/references/feature-map-example/search.md 3.4 KB
- create-verification-skill/SKILL.md 5.7 KB
- domain-modeling/ADR-FORMAT.md 2.7 KB
- domain-modeling/CONTEXT-FORMAT.md 2.2 KB
- domain-modeling/SKILL.md 3.3 KB
- expert-system-engineer/references/examples.md 7.3 KB
- expert-system-engineer/references/knowledge-modeling.md 7.0 KB
- expert-system-engineer/references/rule-engineering.md 6.6 KB
- expert-system-engineer/references/terminology.md 6.2 KB
- expert-system-engineer/SKILL.md 13 KB
- maintain-verification-skill/SKILL.md 4.8 KB
- optimize-agent-context/SKILL.md 4.6 KB
- prompt-engineering/SKILL.md 9.3 KB
- reflect/references/divergent-reviewer.md 3.9 KB
- reflect/references/judgment-reviewer.md 3.2 KB
- reflect/references/synthesizer.md 4.1 KB
- reflect/references/tooling-reviewer.md 4.7 KB
- reflect/SKILL.md 4.9 KB
- skill-creator/LICENSE.txt 11 KB
- skill-creator/references/output-patterns.md 1.8 KB
- skill-creator/references/workflows.md 818 B
- skill-creator/scripts/init_skill.py 11 KB runs code
- skill-creator/scripts/package_skill.py 3.2 KB runs code
- skill-creator/scripts/quick_validate.py 3.4 KB runs code
- skill-creator/SKILL.md 17 KB
- skill-curator/SKILL.md 4.1 KB
- source-to-skill/references/compilation-guide.md 5.0 KB
- source-to-skill/references/knowledge-spec.md 5.7 KB
- source-to-skill/SKILL.md 8.2 KB
- spawn-task/SKILL.md 2.6 KB
- subagent-driven-development/code-quality-reviewer-prompt.md 630 B
- subagent-driven-development/implementer-prompt.md 2.1 KB
- subagent-driven-development/SKILL.md 9.7 KB
- subagent-driven-development/spec-reviewer-prompt.md 2.0 KB
- to-questionnaire/SKILL.md 2.8 KB
- writing-for-agents/SKILL-MECHANICS.md 2.6 KB
- writing-for-agents/SKILL.md 11 KB
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.
- 8d ago First seen · 38 lines · 96 tokens per session scan A 3bda80e17d4e
agent-engineering is a skill published in the GitHub repository J-StaR-Films-Studios/VibeCode-Protocol-Suite (24 stars, last pushed 3d ago), licensed ISC. It adds 96 tokens to every session and 1,031 once invoked, about $0.0005 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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guidance
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outlines
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prompt-master
Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other…
create-simple-prompt
This skill should be used when the user asks to "create a new prompt sample", "add a new prompt sample", "scaffold a new prompt sample", "create a prompt contribution", "add a prompt", or needs to create a new prompt sample with proper folder structure, README, and sample.json metadata. Do NOT use this skill for agent…
prompt-context-engineer
Transform any rough prompt, request, or idea into a well-structured, context-engineered prompt using Andrej Karpathy's context engineering principles. Use this skill whenever the user asks to improve, rewrite, restructure, optimize, or "engineer" a prompt; mentions prompt engineering or context engineering; pastes a…