design media by tsinghua-fib-lab
Scientific Visualization (bundled support) tsinghua-fib-lab/scientific-visualization
Publication-quality chart patterns for agentsociety-analysis Stage 4 refine — Okabe-Ito palettes, seaborn CI bands, small multiples, error bars, grayscale-safe encoding.
What it changes View full report → Passed 18 of 22 test cases with the skill, and 15 of 22 without it.
Without skill 68%
With skill 82%
Checks it passed that the model alone missed The script forces legend labels to be strictly in English. The script outputs the generated image into the assets directory. The script saves the output PNG figure inside the assets directory.and 4 more in the full report
4 fixed14 passed either way3 still failing1 broke
Pass-rate lift +14 pp
Tokens -3%
Agent turns 0%
Response time -14% Model gemini-3.6-flashMeasured 8/15/2026 v1 18 of 22 cases passed with skill
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/tsinghua-fib-lab-scientific-visualization/SKILL.md https://app.decimal.ai/s/tsinghua-fib-lab-scientific-visualization/SKILL.md Copy command Copy SKILL.md
Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add tsinghua-fib-lab-scientific-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/tsinghua-fib-lab-scientific-visualization/ and pins it in .decimal/skills.lock
$ decimalai skills add tsinghua-fib-lab-scientific-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/tsinghua-fib-lab-scientific-visualization/SKILL.md https://app.decimal.ai/s/tsinghua-fib-lab-scientific-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 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Prompt I am tasked with creating `charts/chart_11_ablation.py`. What workspace workflow reference documents should be inspected before writing code?
What was checked, without and with the skill Checked Without skill With skill The workflow specifies checking `references/charts.md` or `assets/chart_scaffold.reference.py` before code implementation. Missed Passed
Show both answers
What's inside The instructions your model reads when the skill loads.
SKILL.md 38 lines single file
Scientific Visualization (bundled support)
Active only during agentsociety-analysis explore/refine/produce. Does not replace figure contracts or harness gates.
When to read
Writing charts/chart_NN_*.py via run-code
Chart failed squint test or validate-chart
User asks for better-looking or clearer plots
Read order
references/charts.md
references/chart-recipes.md
assets/chart_scaffold.reference.py
references/api.md
Absorbed sources (patterns only — no external deps required)
AgentSociety overrides
English-only legend text
matplotlib Agg required
Simulation caveats — no overstated significance
Semantic palette locked per condition across report
PNG in assets/ required; interactive HTML optional
Quick invoke
Copy scaffold → pick recipe letter (A–G) → fill SQL/pandas → save_chart_bundle → rubric → compose-figure if needed.
When it activates Automatically, when a task matches.
Use when writing run-code chart scripts or reviewing chart QA failures.
Track record Benchmark 18 / 22
test cases passed, vs 15 / 22 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 tsinghua-fib-lab / agentsociety
extension/skills/agentsociety-analysis/v1.0.0/support/scientific-visualization/SKILL.md
View on GitHub ↗ License Apache-2.0Imported 8/3/2026Version v1