content-refinement-agent skillA
content-refinement-agent is agent-read markdown (skill) from ar9av/paperorchestra: Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules, deterministic 0-100 decision bands (Accept/Minor/Major/Reject) that drive a target-met early stop, and a Devil's Advocate concession-threshold guard that blocks acceptance on unresolved critical findings. Maintains a worklog and snapshots each iteration so revert is real, not symbolic. TRIGGER when the orche.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Content Refinement Agent (Step 5) Faithful implementation of the Content Refinement Agent from PaperOrchestra (Song et al., 2026, arXiv:2604.05018, §4 Step 5, App. F.1 pp. 49–51). **Cost: ~5–7 LLM calls** (App. B), typically ~3 refinement iterations, each consisting of one reviewer call and one revision call. The paper highlights this step as one of the largest contributors to overall quality: refinement alone accounts for +19% (CVPR) and +22% (ICLR) absolute acceptance-rate improvement (Fig. 4). Get this step right. ## Inputs - `workspace/drafts/paper.tex` — output of Step 4 - `workspace/inputs/conference_guidelines.md` - `workspace/inputs/experimental_log.md` — used as ground truth for the hallucination check - `workspace/citation_pool.json` / `workspace/refs.bib` — the allowed bibliography ## Outputs - `workspace/refinement/iter1/`, `iter2/`, `iter3/` — per-iteration snapshots containing `paper.tex`, `paper.pdf`, `review.json`, `score.json` - `workspace/refinement/worklog.json` — append-only history of decisions - `workspace/final/paper.tex` and `workspace/final/paper.pdf` — copy of the best accepted snapshot ## The refinement loop ``` …
Read the whole file at its exact version.
How to install
mdr add ar9av/paperorchestra/content-refinement-agent@git:20260921.79998c1mdr add ar9av/paperorchestra/content-refinement-agent@sha256:63c19099b720d189Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ucqsr4wyysqibz5g)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260921.79998c1 latest | 2026-09-21 | 79998c1 | 19,770 B | A | view · diff |
| git:20260921.9c4e239 | 2026-09-21 | 9c4e239 | 18,369 B | A | view · diff |
| git:20260921.6186a45 | 2026-09-21 | 6186a45 | 18,943 B | A | view · diff |
| git:20260921.399121f | 2026-09-21 | 399121f | 18,220 B | A | view · diff |
| git:20260921.e2940d6 | 2026-09-21 | e2940d6 | 17,691 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 (19770 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 · 664 stars · license NOASSERTION · pushed 2026-09-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ucqsr4wyysqibz5g GET https://markdownregistry.com/api/v1/resolve?ref=ar9av/paperorchestra/content-refinement-agent GET https://markdownregistry.com/api/v1/blob/63c19099b720d1890e0cdc5ef78e639450e17dd346db078e3022695e66f63659
Your agent 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.