check-build

name	check-build
description	Check GitHub Actions CI build status for AgentWeave (publish.yml → PyPI, hub-image.yml → Docker, ci.yml → tests/lint/type-check). Usable standalone with /loop or callable from other skills. Accepts optional tag filters (e.g. "v0.10.0 hub-v0.4.0"). ci.yml is always shown from the latest master push regardless of tag filter.

Check the status of GitHub Actions CI builds for the AgentWeave repository.

Callable interface (for other skills)

Other skills may invoke this skill via the Skill tool:

skill: "check-build", args: "v<cli_version> hub-v<hub_version>"

Returns the status table + one of: BUILD_COMPLETE_SUCCESS, BUILD_COMPLETE_FAILURE, or BUILD_RUNNING.

---

Step 1 — Fetch all workflow runs

curl -s -o /tmp/aw_gh_runs.json \
  "https://api.github.com/repos/gutohuida/AgentWeave/actions/runs?per_page=40" \
  -H "Accept: application/vnd.github+json"

---

Step 2 — Parse and display

Run this Python script (substitute $ARGUMENTS literally):

import json, urllib.request
from datetime import datetime, timezone

raw_args = "$ARGUMENTS".strip()
args = set(raw_args.split()) if raw_args else set()

data = json.load(open("/tmp/aw_gh_runs.json"))
runs = data.get("workflow_runs", [])

# --- Build per-workflow "seen" maps ---
# For publish.yml and hub-image.yml: filter by tag args if provided
# For ci.yml: ALWAYS use the latest master push run (it triggers on branch push, not tags)
tag_seen = {}   # publish.yml, hub-image.yml
ci_run   = None

for r in runs:
    wf     = r.get("path", "").split("/")[-1]
    title  = r.get("display_title", "") or ""
    branch = r.get("head_branch", "") or ""

    if wf == "ci.yml":
        if ci_run is None and branch == "master":
            ci_run = r
        continue

    matches = (not args) or any(a in title or a in branch for a in args)
    if matches and wf not in tag_seen:
        tag_seen[wf] = r

# Fallback for tag workflows if nothing matched
if not tag_seen:
    for r in runs:
        wf = r.get("path", "").split("/")[-1]
        if wf != "ci.yml" and wf not in tag_seen:
            tag_seen[wf] = r

tag_seen["ci.yml"] = ci_run  # may be None

# --- Print table ---
tracked = ["publish.yml", "hub-image.yml", "ci.yml"]
now = datetime.now(timezone.utc).strftime("%H:%M:%S UTC")
print(f"GitHub Actions — AgentWeave build status (checked at {now})\n")

all_done   = True
any_failed = False
failed_runs = []

for wf in tracked:
    r = tag_seen.get(wf)
    if not r:
        print(f"  {wf:<22} ⬜ no runs found")
        continue
    status     = r["status"]
    conclusion = r["conclusion"]
    ref        = r.get("head_branch") or (r.get("head_commit") or {}).get("id", "")[:7]
    url        = r["html_url"]
    run_id     = r["id"]
    if status != "completed":
        symbol = "🔄 running "; all_done = False
    elif conclusion == "success":
        symbol = "✅ success "
    elif conclusion in ("failure", "cancelled"):
        symbol = "❌ failure "; any_failed = True; failed_runs.append((wf, run_id, url))
    else:
        symbol = "⏭ skipped "
    print(f"  {wf:<22} {symbol}  {ref:<18} {url}")

# --- For any failed run, fetch job-level details ---
if failed_runs:
    print()
    print("── Failure details ──────────────────────────────────────")
    for wf, run_id, url in failed_runs:
        jobs_url = f"https://api.github.com/repos/gutohuida/AgentWeave/actions/runs/{run_id}/jobs"
        req = urllib.request.Request(jobs_url, headers={"Accept": "application/vnd.github+json"})
        try:
            with urllib.request.urlopen(req, timeout=8) as resp:
                jobs = json.load(resp).get("jobs", [])
        except Exception as e:
            print(f"  [{wf}] could not fetch jobs: {e}")
            continue
        for job in jobs:
            if job.get("conclusion") in ("failure", "cancelled"):
                jname = job["name"]
                jurl  = job["html_url"]
                print(f"\n  [{wf}] job failed: {jname}")
                print(f"  {jurl}")
                for step in job.get("steps", []):
                    if step.get("conclusion") in ("failure",):
                        print(f"    step: {step['name']}  →  {step['conclusion']}")

print()
if all_done:
    print("BUILD_COMPLETE_SUCCESS" if not any_failed else "BUILD_COMPLETE_FAILURE")
else:
    print("BUILD_RUNNING")

Save the script to /tmp/aw_check.py and run it:

python3 /tmp/aw_check.py

---

Step 3 — Interpret and report

• BUILD_COMPLETE_SUCCESS — all workflows passed. Print: "All builds passed." If called from a loop, tell the user they can stop it.

• BUILD_COMPLETE_FAILURE — all done, at least one failed. The failure details section above names the exact job and step. Print: "BUILD FAILED — see details above." If called from a loop, tell the user to stop it and fix the reported issue.

• BUILD_RUNNING — at least one workflow still in progress. Print: "Still running — will check again on next interval."