claim-disease

name	claim-disease
description	Use when claiming the next high-priority uncurated disease from the dismech priority dashboard. Picks the top-ranked disease in dashboard/priority.json that is not already covered in kb/disorders/, opens a GitHub curation issue, and assigns it to the current GitHub user. Accepts an optional integer 1–8 to claim N diseases at once.

claim-disease

Claim the next high-priority uncurated disease(s) from the dismech priority dashboard. Opens GitHub issues and assigns them to whoever is running the skill.

When to use

• "What should I curate next?"
• "Claim the next disease"
• "Pick me the next 3 priority diseases and open issues"

Skip when:

• The user names a specific disease — just open that issue directly, no priority lookup needed.
• dashboard/priority.json is missing or stale — regenerate it first with just gen-dashboard.

Inputs

• Optional positional argument N: number of diseases to claim. Defaults to 1, maximum 8.
• Invoked as /claim-disease (claims 1) or /claim-disease 3 (claims 3). The number, if present, is the only argument and must be a positive integer between 1 and 8 inclusive. The cap exists because filing many issues at once swamps the curation queue and generates more cleanup than throughput.

Workflow

1. Read N from the user's argument. If the user passed an integer, use it. If no argument, default to 1. N is the target number of issues to file and is used in steps 4 and 6. If the argument is non-integer, <= 0, or > 8, stop and ask the user to clarify rather than guess. Never silently cap a request for N > 8 to 8 — the user may be picking diseases for batch handoff and needs to know the limit was hit.
2. Verify priority data is fresh. If dashboard/priority.json is older than 30 days or missing, ask the user whether to regenerate (just gen-dashboard) before continuing. Do not silently use stale data.
3. Resolve the current GitHub user: gh api user -q .login. Use that as the issue assignee.
4. Run the candidate finder (Python snippet below) with LIMIT = N + 50 so there is headroom for candidates that get skipped. The finder reads dashboard/priority.json, builds the set of already-covered MONDO IDs from every YAML in kb/disorders/, and prints the top LIMIT uncovered candidates that have an actionable recommendation (CURATE_ROOT or CURATE_ROOT_WITH_SUBTYPES). Skips LUMP_INTO_PARENT, REVIEW_AGAINST_PARENT, DROP_GROUPING_TERM. Treat the output as an ordered candidate pool.
5. Bulk-check open issues for the candidate pool in one batch (one gh issue list call per MONDO ID, parallelisable). Discard any candidate whose MONDO ID already appears in the title or body of an open issue.
6. Iterate the pool top-down and claim until you have N successful claims (or the pool is exhausted):
   • Skip any candidate flagged possibly_covered_by unless the user has already confirmed it is genuinely uncurated.
   • For each remaining candidate, open one issue with the template below. Labels: curation,enhancement. Assignee: the GitHub user from step 3.
   • Stop as soon as you have filed N issues. If the pool runs out before you reach N, report the shortfall and offer to re-run the finder with a larger LIMIT.
7. Report the URLs of every issue filed, plus a short list of candidates that were skipped and why (already has open issue / possibly_covered_by / not actionable).

Candidate finder

Run this from the repo root. Pass LIMIT as the first argument — this is not the number of issues to file, it is the size of the candidate pool to draw from. Use LIMIT = N + 50 so there is headroom for candidates that get skipped (already-claimed, possibly_covered_by). The finder filters by MONDO ID, by canonical label, and by synonym list — and additionally surfaces any candidates whose label appears as a substring in an existing entry's label/synonyms (these are flagged as possibly_covered and should be reviewed by hand, not auto-claimed).

LIMIT=${1:-51} python3 - <<'PY'
import json, os, glob, yaml, re

n = int(os.environ.get("LIMIT", "51"))

def norm(s):
    return re.sub(r"\s+", " ", s.lower().strip()) if s else ""

covered_ids = set()
covered_labels = set()        # exact normalized labels + synonyms
covered_label_corpus = []     # for substring fallback (list of (norm_label, kb_file))

for path in glob.glob("kb/disorders/*.yaml"):
    try:
        with open(path) as fh:
            d = yaml.safe_load(fh)
    except Exception:
        continue
    if not isinstance(d, dict):
        continue
    dt = (d.get("disease_term") or {}).get("term") or {}
    if dt.get("id"):
        covered_ids.add(dt["id"])
    for m in (d.get("mappings") or {}).get("mondo_mappings") or []:
        tid = ((m or {}).get("term") or {}).get("id")
        if tid:
            covered_ids.add(tid)
    for sub in d.get("has_subtypes") or []:
        st = ((sub or {}).get("disease_term") or {}).get("term") or {}
        if st.get("id"):
            covered_ids.add(st["id"])
    # labels & synonyms for fuzzy matching
    for s in filter(None, [d.get("name"), dt.get("label"), (d.get("disease_term") or {}).get("preferred_term")]):
        covered_labels.add(norm(s))
        covered_label_corpus.append((norm(s), path))
    for syn in d.get("synonyms") or []:
        if isinstance(syn, str):
            covered_labels.add(norm(syn))
            covered_label_corpus.append((norm(syn), path))
        elif isinstance(syn, dict) and syn.get("name"):
            covered_labels.add(norm(syn["name"]))
            covered_label_corpus.append((norm(syn["name"]), path))

try:
    with open("dashboard/priority.json") as fh:
        priority = json.load(fh)
except FileNotFoundError:
    raise SystemExit(
        "dashboard/priority.json not found — run `just gen-dashboard` first"
    )
actionable = {"CURATE_ROOT", "CURATE_ROOT_WITH_SUBTYPES"}
picks = []
for row in priority["rows"]:
    if row.get("recommended_action") not in actionable:
        continue
    if row["mondo_id"] in covered_ids:
        continue
    label_n = norm(row["label"])
    if label_n in covered_labels:
        continue
    # substring fallback: both labels must be multi-word and >=8 chars to avoid noise
    possibly = []
    if len(label_n.split()) >= 2 and len(label_n) >= 8:
        for cn, src in covered_label_corpus:
            if len(cn.split()) < 2 or len(cn) < 8:
                continue
            if label_n in cn or cn in label_n:
                possibly.append(src)
    pick = {
        "mondo_id": row["mondo_id"],
        "label": row["label"],
        "score": row["score"],
        "recommended_action": row["recommended_action"],
    }
    if possibly:
        pick["possibly_covered_by"] = sorted(set(possibly))[:3]
    picks.append(pick)
    if len(picks) >= n:
        break

print(json.dumps(picks, indent=2))
PY

If a candidate has possibly_covered_by, do not auto-claim it — show the user, confirm whether the existing entry already covers it, and skip if so. Only claim candidates with no possibly_covered_by flag without confirmation.

Issue template

Title:

Curate <label> (<MONDO_ID>)

Body:

Curate a dismech entry for **<label>** ([<MONDO_ID>](https://monarchinitiative.org/<MONDO_ID>)) — <one-sentence biomedical context>.

<If recommended_action is CURATE_ROOT_WITH_SUBTYPES, add a paragraph noting that subtypes should be modelled with `has_subtypes`. Mention any obvious subtypes you know of, or note that they should be identified during curation.>

Source: top of [priority dashboard](https://dismech.monarchinitiative.org/dashboard/priority.html) (`<recommended_action>`, score <score>).

Tracker: part of #1079.

Create with:

gh issue create \
  --title "Curate <label> (<MONDO_ID>)" \
  --assignee "$(gh api user -q .login)" \
  --label curation,enhancement \
  --body "$(cat <<'EOF'
...body...
EOF
)"

Common mistakes

• Hardcoding a username. Always resolve via gh api user -q .login so the skill works for any contributor.
• Fetching priority.html from the deployed site. Use the local dashboard/priority.json — it's authoritative and structured.
• Claiming a disease that already has an open issue. Always run the gh issue list --search "MONDO:..." check before posting.
• Including non-actionable rows. LUMP_INTO_PARENT and DROP_GROUPING_TERM should not become curation issues; the candidate finder above already filters them.
• Stale dashboard. If dashboard/priority.json is more than ~30 days old, the ranking may not reflect recent kb additions. Offer to regenerate before claiming.
• Trusting the finder blindly. Coverage detection is lexical (MONDO ID, label, synonym, substring). Diseases covered conceptually under a different parent term will pass through (e.g. "Zellweger spectrum disorders" → covered by Peroxisome_Biogenesis_Disorder.yaml but no shared MONDO ID or substring). When the candidate label ends in "syndrome", "disorder", "spectrum", "disease" or is a well-known synonym, search the kb manually before posting:

  grep -rli "zellweger" kb/disorders/
  

• Filing fewer issues than requested without saying so. The candidate pool is LIMIT = N + 50, but on a busy day even that can be exhausted by already-filed issues. If you finish step 6 with fewer than N claims, say so explicitly in the report and offer to re-run the finder with a larger LIMIT. Don't pad the count with possibly_covered_by candidates the user hasn't confirmed.
• Confusing LIMIT with N. LIMIT is the candidate-pool size passed to the finder. N is how many issues to actually file. They are not the same number; never pass N directly as the finder's argument.

Tracker

The umbrella issue for priority curation is #1079. Always link new curation issues back to it.