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/endogenai/dogma/agent-skills-integrationgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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/agents/endogenai/dogma/agent-skills-integration)<a href="https://agentmods.dev/agents/endogenai/dogma/agent-skills-integration"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/agent-skills-integration.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 5.1 | $0.00000 | $0.05352 |
| Opus 5 | $0.00000 | $0.02676 |
| Sonnet 5 | $0.00000 | $0.01070 |
| Haiku 4.5 | $0.00000 | $0.00535 |
Grade A, and why
agent-skills-integration 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 2d 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 — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Skills Integration — Research Synthesis
Status: Final Research Question: How do VS Code Agent Skills (agentskills.io open standard) complement the existing
.agent.mdfleet, what is the canonical composition rule, and what is the optimal integration path for the EndogenAI Workflows repository? Date: 2026-03-07 Related:AGENTS.md(guiding constraints),MANIFESTO.md(Algorithms Before Tokens axiom),docs/guides/agents.md,docs/plans/2026-03-07-issue-60-agent-skills.md
1. Executive Summary
Agent Skills are an open standard (agentskills.io, developed by Anthropic) for packaging workflow expertise as portable SKILL.md files that AI agents load on demand. In VS Code, skills are stored in .github/skills/ and discovered automatically by GitHub Copilot — only metadata (~100 tokens per skill) is loaded at startup, with full instructions loaded only when relevant. Skills sit at the tactical layer of the VS Code customization stack: they encode how to do a task (procedures, conventions, templates), while .agent.md Roles encode who does it (persona, posture, tool restrictions, handoff logic). This separation is the canonical composition rule.
For this repository, skills are the precise implementation of the Algorithms Before Tokens axiom from MANIFESTO.md: workflow knowledge that currently lives in docs/guides/, CONTRIBUTING.md, and agent bodies can be extracted into skills, encoded once, and inherited across all sessions, tools, and platforms without repeated prompting overhead. The three highest-priority candidates — session-management, deep-research-sprint, and conventional-commit — are available for immediate implementation.
2. Hypothesis Validation
This section validates the seven research questions (Q1–Q7) from Issue #60.
Q1 — Skills vs Agents: The Composition Rule
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.
- 2d ago First seen · 329 lines · 0 tokens per session scan A 7ae7165d4012
agent-skills-integration is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 12d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 5,352 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 2026-09-03.
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