plotting-agent SKILL.md skillA
plotting-agent from ar9av/paperorchestra is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ar9av/paperorchestra/plotting-agent@git:20260921.8d6fd97Pins git:20260921.8d6fd97 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ar9av/paperorchestra
- Path
skills/plotting-agent/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260921.8d6fd97, committed Sep 21, 2026
- First version recorded
- Apr 9, 2026
- Size
- 9,395 bytes
- Repository stars
- 697
- License
- a license file GitHub does not identify
Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimental_log.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER when the orchestrator delegates Step 2 or when the user asks to "generate the figures for my paper" or "render the plots from this experiment log".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Plotting Agent (Step 2)
Faithful implementation of the Plotting Agent from PaperOrchestra
(Song et al., 2026, arXiv:2604.05018, §4 Step 2 and App. F.1 p.45).
**Cost: ~20–30 LLM calls.** The paper uses PaperBanana (Zhu et al., 2026) as
the default backbone with a closed-loop VLM-critique refinement. This skill
expresses that loop in host-agent terms: you (the host agent) generate
matplotlib code with your own LLM, render via your Bash/Python tool,
optionally critique the rendered PNG with your vision model, redraw, and
finally caption.
## Inputs
- `workspace/outline.json` — specifically the `plotting_plan` array
- `workspace/inputs/idea.md` and `workspace/inputs/experimental_log.md` —
the source data
- `workspace/inputs/figures/` — optional pre-existing figures (`PlotOn` mode)
## Outputs
- `workspace/figures/<figure_id>.png` — one PNG per `plotting_plan` entry
(300 DPI, sized to the requested aspect ratio)
- `workspace/figures/captions.json` — `{figure_id: caption_text}` map
## Workflow
### Per figure (executed independently per `figure_id`)
1. **Read the figure spec** from `outline.json`:
```json
{
"figure_id": "fig_main_results",
…Read the whole file at its exact version.
How to install
mdr add ar9av/paperorchestra/plotting-agent@sha256:34c5fae63a611892The line at the top of this page pins the label git:20260921.8d6fd97, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_iyv5vcdolrj6ascd)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Apr 9, 2026 and Sep 21, 2026, about one every 55 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260921.8d6fd97 latest | 2026-09-21 | 8d6fd97 | 9,395 B | A | view · diff |
| git:20260410.39484d9 | 2026-04-10 | 39484d9 | 7,940 B | A | view · diff |
| git:20260410.2b73c0a | 2026-04-10 | 2b73c0a | 8,915 B | A | view · diff |
| git:20260409.c2de31b | 2026-04-09 | c2de31b | 7,134 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9395 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ar9av/paperorchestra · 697 stars · license a license file GitHub does not identify · pushed 2026-11-04 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_iyv5vcdolrj6ascd GET https://markdownregistry.com/api/v1/resolve?ref=ar9av/paperorchestra/plotting-agent GET https://markdownregistry.com/api/v1/blob/34c5fae63a611892eb9e7d49aba93be2a706667525e4d0d00d9bb3109805c3b9
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.