agent-research-aggregator skillA
agent-research-aggregator is agent-read markdown (skill) from ar9av/paperorchestra: Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimental_log.md). TRIGGER when the user says "aggregate my agent logs for paper writing", "extract experiments from my coding agent history", "prepare PaperOrchestra inputs from my cache", "turn my agent logs into a paper", mentions a.
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
# agent-research-aggregator --- ## Should I run? (decision gate) Before starting Phase 1, check whether aggregation is actually needed: | Situation | Action | |---|---| | `workspace/inputs/idea.md` **and** `workspace/inputs/experimental_log.md` both exist and are non-empty | **Skip this skill entirely.** Proceed directly to `paper-orchestra`. | | Either file is missing or empty, **and** the user provided a directory path | **Run this skill** with that directory as `--search-roots`. | | Either file is missing or empty, **and** no directory was provided | Scan cwd and `~` by default; show the discovery summary to the user before continuing. | | The inputs exist but look thin (e.g. idea.md has < 5 lines, no numeric data in experimental_log.md) | **Ask the user** whether to supplement with aggregation or proceed as-is. | The skill is intentionally a pre-pass — it is cheap to skip and should only run when the structured inputs don't already exist. --- A pre-processing skill for PaperOrchestra (arXiv:2604.05018). Reads scattered experimentation artifacts from AI coding-agent cache directories and synthesizes …
Read the whole file at its exact version.
How to install
mdr add ar9av/paperorchestra/agent-research-aggregator@git:20260417.cc469ccmdr add ar9av/paperorchestra/agent-research-aggregator@sha256:c543b867f8473ca0Pin 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_ku3ggrdxhyghmd6i)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260417.cc469cc latest | 2026-04-17 | cc469cc | 14,410 B | A | view · diff |
| git:20260411.ee1cb88 | 2026-04-11 | ee1cb88 | 12,633 B | A | view · diff |
| git:20260410.3452bac | 2026-04-10 | 3452bac | 11,458 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 (14410 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_ku3ggrdxhyghmd6i GET https://markdownregistry.com/api/v1/resolve?ref=ar9av/paperorchestra/agent-research-aggregator GET https://markdownregistry.com/api/v1/blob/c543b867f8473ca090679c0c21ed1b2776374bf70ba98169b71479da4756e4ce
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.