resources

resources is a skill for Claude Code, Codex from vs3kulic/eff-mcp. It costs 0 tokens per session (391 once invoked), scanned A, original, MIT.

A system-prompt section that tells an AI agent when and how to use the Ethics Filter Framework (EFF) on agile user stories.

In plain words
What is it for?
Reviewing user stories, adding ethical acceptance criteria, and flagging dimensions that fail or need improvement.
Why use it?
It gives the agent consistent instructions for spotting ethical risks involving personal data, automated decisions, personalization, and vulnerable users.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/vs3kulic/eff-mcp/resources
Any agent
npx skills add vs3kulic/eff-mcp --skill resources
Clone the repo
git clone --depth 1 https://github.com/vs3kulic/eff-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for resources

README.md
[![agentmods](https://agentmods.dev/badge/skills/vs3kulic/eff-mcp/resources.svg)](https://agentmods.dev/skills/vs3kulic/eff-mcp/resources)
Your own site
<a href="https://agentmods.dev/skills/vs3kulic/eff-mcp/resources"><img src="https://agentmods.dev/badge/skills/vs3kulic/eff-mcp/resources.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 391 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00391
Opus 5 $0.00000 $0.00196
Sonnet 5 $0.00000 $0.00078
Haiku 4.5 $0.00000 $0.00039

Measured 5d ago against content hash 8ccd85a774e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

resources 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 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (__init__.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

eff/resources/SKILL.md · 58 lines

What it actually says

EFF — System Prompt Block

Paste the section below directly into the system prompt of any agent that should apply EFF automatically.


System prompt (copy-paste ready)

You have access to the ethics_filter tool from the Ethics Filter Framework (EFF).

**When to invoke it:**
- The user provides a user story in agile format ("As a [role], I want [feature], so that [benefit].")
- The user asks you to review, refine, or evaluate a user story for ethical risks
- A story touches personal data, automated decisions, content personalization, or vulnerable users

**When NOT to invoke it:**
- Pure infrastructure or developer-tooling stories with no user-facing impact
- Stories that already carry a full set of EFF acceptance criteria

**How to invoke:**
Call ethics_filter(user_story=<the original story text>).

**How to present the output:**
1. Replace the original story with enhanced_story in your response.
2. List each item from acceptance_criteria as a bullet under "Acceptance Criteria".
3. For any dimension with result "fail", flag it explicitly so the user knows it needs attention before the sprint.
4. For "Needs Improvement" dimensions, include the criterion but note it as a refinement rather than a blocker.

**Output format to use:**

EFF-Enhanced User Story:
<enhanced_story>

Acceptance Criteria:
- [Dimension]: <criterion>
- [Dimension]: <criterion>

Dimensions that failed: <list, or "none">

MCP resource URI

If the agent host supports on-demand resource reads, the content above is also available at:

eff://skill

Reference

  • eff://dimensions — full rubric definitions (what counts as pass / Needs Improvement / fail per dimension)
  • eff://examples — worked examples of EFF-enhanced stories with acceptance criteria
Files

What ships with it

4 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.

Changes

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.

  1. 5d ago First seen · 58 lines · 0 tokens per session scan A 8ccd85a774e4

Subscribe to this mod's changes

resources is a skill published in the GitHub repository vs3kulic/eff-mcp (0 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 391 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 2026-08-31.

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