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 OpenLAIR/OpenSkill --skill evo-dialogue-dotgengit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-dialogue-dotgen)<a href="https://agentmods.dev/skills/openlair/openskill/evo-dialogue-dotgen"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-dialogue-dotgen/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/openlair/openskill/evo-dialogue-dotgen"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-dialogue-dotgen.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 | $0.00032 | $0.00161 |
| Opus 5 | $0.00016 | $0.00081 |
| Sonnet 5 | $0.00006 | $0.00032 |
| Haiku 4.5 | $0.00003 | $0.00016 |
Grade A, and why
evo-dialogue-dotgen 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 yesterday.
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.
What it actually says
evo-dialogue-dotgen
Generates DOT visualization from dialogue graphs.
Key Functions
generate_dot(graph: dict, output_path: str)- Generate DOT file from graphescape_label(text: str) -> str- Safely escape text for DOT labelsstyle_node(node_type: str) -> dict- Get visual styling by node type
Usage
import sys
sys.path.insert(0, "/app/environment/skills/evo-dialogue-dotgen/scripts")
from utils import generate_dot
generate_dot(graph, "/app/dialogue.dot")
What ships with it
1 file 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.
- yesterday First seen · 24 lines · 32 tokens per session scan A cc82a962aeb0
evo-dialogue-dotgen is a skill published in the GitHub repository OpenLAIR/OpenSkill (88 stars, last pushed yesterday), licensed Apache-2.0. It adds 32 tokens to every session and 161 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 2026-09-11.
Other skills, from other repositories
map-blockout
Procedurally design an AAA-style open-world FPS map blockout (roads, POIs, fields, forests/treelines, railway/bridges) from a landscape, validate it through gated checks, and materialize it into engine geometry. Use when the user asks to block out or lay out an open-world/FPS map, place roads/POIs/forests/railways…
Cursor rules for ASCII simulation game development
Skill "Cursor rules for ASCII simulation game development" from AmariahAK/atlarix-skills, covering cursor rules for ascii simulation game development, when to use this skill and source.
GameMaker Language (GML) rules for scripts, objects, events, rooms, data structu
GameMaker Language (GML) rules for scripts, objects, events, rooms, data structures, and performance-minded game code.
dialogue-graph
A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.
dialogue-graph
A library for building, validating, visualizing, and serializing dialogue graphs. Use this when parsing scripts or creating branching narrative structures.
gameobject-component-destroy
Destroy one or more Components from a target GameObject. Missing (null) components are skipped — they cannot be destroyed. Use 'gameobject-find' and 'gameobject-component-get' to identify the components first.