documentation by yogsoth-ai
Argument Visualization yogsoth-ai/argument-visualization
SOP for generating argument structure visualization — query graph for argument chains, format as mermaid diagram or indented tree, write to vault.
What it changes View full report → Passed 14 of 19 test cases with the skill, and 3 of 19 without it.
Without skill 18%
With skill 73%
Checks it passed that the model alone missed and 10 more in the full report
13 fixed3 passed either way5 still failing1 broke
Pass-rate lift +55 pp
Tokens -51%
Agent turns 0%
Response time -67% Model gemini-3.6-flashMeasured 8/22/2026 v1 16 of 22 cases passed with skill · 19 comparable
Use this skill Claude Code DecimalAI agent CLI & files
Save it into your project's skills folder. Claude Code picks it up in its next session.
curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-argument-visualization/SKILL.md https://app.decimal.ai/s/yogsoth-ai-argument-visualization/SKILL.md Copy command Copy SKILL.md
Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add yogsoth-ai-argument-visualization, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"
Linked stays up to date: your agents get the author's new versions automatically.
Editable copy is yours to change; the author's updates won't reach it.
Install linked skill Create editable copy
1 · One-time — install the CLI (
docs ↗ )
$ pip install "decimalai>=0.15"Copy
2 · Get the skill — writes .agents/skills/yogsoth-ai-argument-visualization/ and pins it in .decimal/skills.lock
$ decimalai skills add yogsoth-ai-argument-visualizationCopy
Copy link Copy README badge Copy SKILL.md No CLI? Get the same file — curl · raw file $ curl -fsSL --create-dirs -o .claude/skills/yogsoth-ai-argument-visualization/SKILL.md https://app.decimal.ai/s/yogsoth-ai-argument-visualization/SKILL.mdCopy
Safety checks: 3 of 3 passed
Code scan Clean Intent Passed Content Clean
Overview Benchmark Contents Activity Versions 1 Ratings 0
See it in action One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
Prompt A claim node in the vault graph has an exact strength rating of 3. Should this node be styled as yellow or red in the argument map?
What was checked, without and with the skill Checked Without skill With skill Styles nodes with strength rating of 3 as red
Show both answers
What's inside The instructions your model reads when the skill loads.
SKILL.md 30 lines single file
Argument Visualization
Generate a visual representation of the argument structure for a topic.
Tool
vault_query_graph + CC file write
Protocol
Query graph starting from the topic node, traversing supported_by, contradicts, and derived_from edges
Collect all claims, evidence, and their relationships
Format as a mermaid diagram in the wiki page:
Green nodes: strong claims (strength ≥ 7)
Yellow nodes: moderate claims (strength 4-6)
Red nodes: weak claims (strength ≤ 3)
Solid edges: supported_by
Dashed edges: contradicts
Write/update wiki/topics/<topic-slug>.md with the argument map section
Include a summary: total claims, strongest/weakest, key contradictions
HARD-GATE
Yield
Returns: { topic: string, claims_shown: number, edges_shown: number, format: "mermaid" }
Track record Benchmark 14 / 19
test cases passed, vs 3 / 19 without
Adoption
Users 0
Times used 0 View activity → Safety and source details
SkillSafety ✓ 3 of 3 passed ✓ Code scan 15 of 15 checks clean
0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026
View 15 scanner checks live_secret remote_code_execution reverse_shell data_exfiltration ssrf_metadata agent_snooping anti_refusal destructive_commands obfuscated_unicode unicode_homoglyph opaque_blob suspicious_url tool_overreach trigger_abuse prompt_injection_phrasing
✓ Intent Safe
LLM judge · does the skill do what it claims
✓ Content Clean
LLM judge · policy & harmful-content review
Source Imported yogsoth-ai / de-anthropocentric-research-engine
skills/argument-visualization/SKILL.md
View on GitHub ↗ License Apache-2.0Imported 8/3/2026Version v1