agentleFS
matthewdigiuseppematthewdigiuseppe/MStack/skills/paper-status/SKILL.md

paper-status

Skill17 starsChanged 3 months agoMITView on GitHub

Reports where a paper stands from its .mstack/ memory and pipeline outputs — stage, missing artifacts, stale verdicts, and the one recommended next skill. Use when the user asks where they left off or what's next, wants a status check, or opens a session on an existing paper.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Reconcile paper.status: If the script's derived stage, or your corrected one, disagrees with config, say so and offer to update the field …

    line 28
  2. Distinctive:

    Write for the author, not about the process: no "the script says", no state-versus-correction columns, no mention of which heuristic …

    line 40

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

/mstack:paper-status

Stage: any · Voice: project-manager

Opening a session, returning after a gap, "where were we?", "what's next?". Read-only apart from an offered paper.status correction.

Procedure

  1. Inventory in one call:

    python3 "${CLAUDE_PLUGIN_ROOT}/bin/mstack-status"

    It finds .mstack/ at or above the current directory (exit 1 and a pointer to /mstack:mstack-init if there is none), reads .mstack/config.yaml, and prints: every pipeline artifact by stage with its state (present / thin / stub / missing / optional), date, and verdict line, where thin means the file exists but is too small or too repetitive to be a real artifact of its kind; verdicts that are stale because an input changed after they were written (a results audit older than code/02-analyze.R, an identification review older than methods.tex, a lit map older than lit/index.md, PDFs dropped in lit/pdf/ but never ingested); the stage the artifacts imply; whether that matches paper.status; and the required artifacts still missing up to that stage. Do not re-derive any of this with your own globs and greps.

  2. Spot-check what the verdict rests on. Open every artifact the script marks thin, and the one present artifact that anchors the derived stage (the furthest one). If any of them is placeholder text, say so and derive the stage yourself from the last real artifact; the script's heuristics are size and repetition, and your reading beats them.
  3. Reconcile paper.status. If the script's derived stage, or your corrected one, disagrees with config, say so and offer to update the field in .mstack/config.yaml; never change it unasked.
  4. Recommend exactly one next step: the earliest required gap wins over a shinier later stage, and a stale verdict counts as a gap. Name the skill and the reason in one sentence.

Outputs

A printed report, in this order, and nothing written to the paper folder:

  1. The config line as the script prints it: title, paper.status, format, design, prereg, target journals.
  2. Bottom line, four short sentences (under 80 words): the stage and whether it matches paper.status; which verdicts are stale (an input changed after they were written; a placeholder is a gap, not a stale verdict); the one next skill and why.
  3. One per-stage table, the script's rows with your spot-check corrections already applied (state, date, verdict or a short note). One table is the inventory; do not paste raw script output and then re-summarize it.
  4. Only what changes the next step: a placeholder you found behind a present or thin label, a mismatch to correct. Observations that do not change the recommendation stay out.

Write for the author, not about the process: no "the script says", no state-versus-correction columns, no mention of which heuristic decided what. Report the corrected state and, where you overrode the script, one short note in the row.

With consent only: paper.status corrected in .mstack/config.yaml.

Anti-patterns

  • Guessing the stage from the conversation. The artifacts on disk are the record, and the script reads them.
  • Three next steps. One; the pipeline is ordered for a reason.
  • A stub counted as done. The script strips template comments before deciding; trust its stub state, open anything it calls thin, and spot-check the artifact the stage rests on.
  • A report longer than the paper's problems. Bottom line, one table, then only what changes the next step.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.