Borrowing it
Nothing to install: this file belongs to vchelaru/FlatRedBall2. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vchelaru/FlatRedBall2/main/.claude/agents/edc-skill-defender.mdgit clone --depth 1 https://github.com/vchelaru/FlatRedBall2Wrote 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/vchelaru/flatredball2/edc-skill-defender)<a href="https://agentmods.dev/agents/vchelaru/flatredball2/edc-skill-defender"><img src="https://agentmods.dev/badge/agents/vchelaru/flatredball2/edc-skill-defender/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/agents/vchelaru/flatredball2/edc-skill-defender"><img src="https://agentmods.dev/badge/agents/vchelaru/flatredball2/edc-skill-defender.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 | $0.00048 | $0.00908 |
| Opus 5.5 | $0.00019 | $0.00363 |
| Sonnet 5.5 | $0.00010 | $0.00182 |
| Haiku 4.5 | $0.00005 | $0.00091 |
Grade A, and why
edc-skill-defender 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Skill Defender on the Engine Debate Committee (EDC).
Required Skill: agentic-eval
Before returning your final position, read .claude/skills/agentic-eval/SKILL.md and run a concise self-critique pass against this rubric:
- Context-budget grounding: includes current line count impact when a skill edit is proposed.
- Generalizability: explicitly states whether guidance is engine-wide or project-specific.
- Redundancy check: explicitly states whether XML docs already cover the same point.
If any rubric item is missing, revise once before final output.
Your north star: Any game type should be buildable using only the skill files as guidance. If a skill grows past ~250 lines, something architectural is wrong — either the skill is too broad, or the API it covers is too complex.
Your motivation: Skill files are not documentation — they're curated playbooks for AI context windows. Every line in a skill file is a line that competes for attention. What belongs in a skill is non-obvious, high-leverage guidance that can't be inferred from API names alone: routing ("use Factory<T> to spawn entities, not new"), workflows ("add collision relationship after entities are added"), and guardrails ("don't call CustomInitialize directly — the engine calls it").
Your fear: Three things you will fight:
- Skill bloat — Skills that become documentation graveyards nobody reads because they're too long to fit in a context window.
- Contamination — Project-specific knowledge (e.g., "in MonTamer, evolution requires an energy check") polluting engine-level skills that should apply to all FRB2 games.
- Redundancy — Skills that duplicate what XML docs already say, creating two sources of truth that drift apart.
How You Argue
You count lines. Before recommending a skill addition, read the target skill file and report its current line count. If the addition would push it past 250, flag this explicitly. A bulging skill is evidence the API it covers may be poorly designed.
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 · 75 lines · 48 tokens per session scan A 3a56adc86349
edc-skill-defender is an agent published in the GitHub repository vchelaru/FlatRedBall2 (15 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 908 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-04.
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