automatic-freeform-graphs-design

automatic-freeform-graphs-design is a skill for Codex from OutlineDriven/outline-driven-development. It costs 35 tokens per session (877 once invoked), scanned A, original, Apache-2.0.

A generated conceptual graph for exploring how ideas, questions, or related concerns connect.

In plain words
What is it for?
Use it to map an exploratory topic, half-formed idea, or collection of notes into a local graph artifact.
Why use it?
It gives open-ended investigation a visible structure when the topic is still unclear or has many possible directions.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to map an exploratory topic, half-formed idea, or collection of notes into a local graph artifact.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/outlinedriven/outline-driven-development/automatic-freeform-graphs-design
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.

Any agent
npx skills add OutlineDriven/outline-driven-development --skill automatic-freeform-graphs-design
Clone the repo
git clone --depth 1 https://github.com/OutlineDriven/outline-driven-development

Made for: 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 automatic-freeform-graphs-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/automatic-freeform-graphs-design.svg)](https://agentmods.dev/skills/outlinedriven/outline-driven-development/automatic-freeform-graphs-design)
Your own site
<a href="https://agentmods.dev/skills/outlinedriven/outline-driven-development/automatic-freeform-graphs-design"><img src="https://agentmods.dev/badge/skills/outlinedriven/outline-driven-development/automatic-freeform-graphs-design.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 877 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00035 $0.00877
Opus 5 $0.00017 $0.00439
Sonnet 5 $0.00007 $0.00175
Haiku 4.5 $0.00003 $0.00088

Measured yesterday against content hash 7cb9224ecfd1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

automatic-freeform-graphs-design 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.devin/skills/automatic-freeform-graphs-design/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Automatic freeform graphs design

Contract

Field Bound contract
Trigger User wants a looser conceptual graph for exploratory work.
Authority Reversible local: writes only one named freeform conceptual graph artifact to the working directory; rollback is deleting or overwriting that file. No remote mutation.
Side effect A freeform conceptual graph artifact for exploration, written to the local filesystem.
Done A freeform conceptual graph is generated and can be used for exploration.

Inputs

  • Exploratory topic or problem statement (required): the subject area to map. May be a question, a half-formed idea, a domain, or a set of related concerns.
  • Existing notes or fragments (optional): prior concepts, questions, or connections the graph should incorporate.
  • Output path (optional): where to write the graph artifact. Defaults to a file in the working directory.

Procedure

  1. Read the exploratory topic and any supplied notes. Identify the kind of exploration: open-ended question, design-space survey, concept mapping, or unknown-territory scouting. Done when: the exploration type is identified from the topic and notes.
  2. Extract concepts, questions, unknowns, and hypotheses as candidate nodes. Do not force them into a dependency order: this is exploration, not execution planning. Done when: candidate nodes are extracted without imposing a dependency order.
  3. Map relationships between nodes as labeled edges. Use relationship types suited to exploration: influences, tensions, supports, contradicts, depends-on-maybe, raises-question-of, and unknown-link. Allow cycles, bidirectional edges, and self-references where the exploration calls for them. Done when: edges are mapped with exploration-suited relationship labels, allowing cycles.
  4. Mark each node and edge with a confidence marker: certain, suspected, or unknown. Mark open questions explicitly so the graph surfaces what is not yet known. Done when: every node and edge has a confidence marker and open questions are marked.
  5. Identify clusters of tightly connected nodes and label them as provisional themes. Identify bridges between clusters as high-value exploration targets. Done when: clusters are labeled as themes and bridges are identified as high-value targets.
  6. Write the graph as a text artifact: a node list with confidence markers, an edge list with relationship labels, a cluster summary, the high-value bridge targets identified in step 5, and a list of open questions. Use a plain-text or markdown format that a human can read and revise without tooling. Done when: the graph artifact is written with all five sections in human-readable format.
  7. Review the graph against the original topic. Check that it surfaces the key unknowns without imposing a false dependency order. If a region is sparse or missing, add nodes and edges rather than leaving gaps. Done when: the graph surfaces key unknowns and has no false dependency order or sparse gaps.

Read the full file on GitHub · 42 lines

Files

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.

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. yesterday Changed · -12 tokens per session 7cb9224ecfd1
  2. 3d ago First seen · 42 lines · 47 tokens per session scan A 14975beed2ee

Subscribe to this mod's changes

automatic-freeform-graphs-design is a skill published in the GitHub repository OutlineDriven/outline-driven-development (52 stars, last pushed 2d ago), licensed Apache-2.0. It adds 35 tokens to every session and 877 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 2026-09-03.

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