patcher

Given an app name, this skill queries four patching ecosystems and an open-web pass for vendor/MDM deployment docs, then prints a consolidated report. It does not write to disk and does not require Jamf Pro access (the App Installers ecosystem is intentionally skipped; see below).

Required argument

A single Mac application name. Examples:

• Google Chrome
• 1Password
• Zoom
• Cisco AnyConnect Secure Mobility Client

The app name is normalized (lowercase, strip spaces, strip dots) before matching, but the original form is preserved in output. If the user gives a quoted form, respect it.

Workflow

Run the four ecosystem checks in parallel where possible (they're independent), then do the vendor-docs pass. Failures in one section don't block the others. Report partial results if anything fails.

1. Installomator

Replicate Patcher's existing match algorithm (direct → normalized → fuzzy) against Installomator's Labels.txt:

curl -fsSL https://raw.githubusercontent.com/Installomator/Installomator/refs/heads/main/Labels.txt > /tmp/installomator-labels.txt

Then run the matching via Patcher's installed venv (rapidfuzz is already in the dev environment):

uv run python - <<'PY'
import sys
from rapidfuzz import fuzz, process

app_name = """<APP_NAME>"""  # substitute the user's input here

with open("/tmp/installomator-labels.txt") as f:
    labels = {line.strip().lower() for line in f if line.strip() and not line.startswith("#")}

normalized = app_name.lower().replace(" ", "").replace(".", "")

direct = []
if app_name.lower() in labels:
    direct.append((app_name.lower(), 100, "direct"))
if normalized in labels and normalized != app_name.lower():
    direct.append((normalized, 100, "normalized"))

# Fuzzy: surface anything >= 75
fuzzy = []
for cand, score, _ in process.extract(normalized, labels, scorer=fuzz.ratio, limit=10):
    if score >= 75 and not any(cand == d[0] for d in direct):
        fuzzy.append((cand, score, "fuzzy"))

for name, score, kind in [*direct, *fuzzy]:
    if score == 100:
        flag = "exact"
    elif score >= 85:
        flag = "high conf"
    else:
        flag = "below threshold"
    print(f"  {name:<40} score {score:>3}  ({kind}, {flag})")
PY

If Labels.txt fetch fails, print:

  (Labels.txt unreachable; check network)

2. Homebrew Cask

Fetch the cask catalog JSON. It's ~1 MB; cache it under /tmp to avoid refetching on repeat invocations within the same session:

test -f /tmp/cask.json || curl -fsSL https://formulae.brew.sh/api/cask.json > /tmp/cask.json

Filter the JSON for matches. The cask's token is the primary match key, but the name array (a list of display names) is the secondary signal:

uv run python - <<'PY'
import json

app_name = """<APP_NAME>"""  # substitute the user's input here
normalized = app_name.lower().replace(" ", "-").replace(".", "")
name_lower = app_name.lower()

with open("/tmp/cask.json") as f:
    casks = json.load(f)

matches = []
for cask in casks:
    token = cask.get("token", "")
    names = [n.lower() for n in cask.get("name") or []]
    # Match: exact token, prefix token (for variants), or display-name in `name[]`
    if token == normalized or token.startswith(f"{normalized}-") or name_lower in names:
        matches.append({
            "token": token,
            "display": cask.get("name", [""])[0],
            "version": cask.get("version", ""),
            "deprecated": cask.get("deprecated", False),
            "disabled": cask.get("disabled", False),
        })

for m in matches:
    suffix = ""
    if m["deprecated"]:
        suffix += " [deprecated]"
    if m["disabled"]:
        suffix += " [disabled]"
    print(f"  {m['token']:<40} v{m['version']}{suffix}")

if not matches:
    print("  (no matches)")
PY

3. AutoPkg

Try local first. autopkg search is the fastest path when the tool is installed:

autopkg search "<APP_NAME>" 2>&1

Parse the table output; recipes appear with their parent repo. If autopkg is not on PATH or the command fails with a non-zero exit code, fall back to GitHub code search via gh:

gh api -X GET search/code -f q='<NORMALIZED_APP_NAME> in:path org:autopkg extension:recipe' --jq '.items[] | "\(.repository.full_name)/\(.path)"' | head -20

Notes:

• The local autopkg search returns recipes from all configured repos (typically more comprehensive than just autopkg/* org).
• The remote gh fallback only searches the autopkg GitHub org; community repos outside that org won't surface. Mention this caveat in the output.
• If both fail (no autopkg, no gh, or no network), print:

    (autopkg unreachable; install autopkg or gh CLI)
  

4. Jamf App Installers

Skip with a note. The undocumented /api/v1/app-installers/titles endpoint requires Jamf Pro tenant access, which is not currently available.

Print:

  skipped (no Jamf access). Browse public catalog at:
  https://learn.jamf.com/r/en-US/jamf-app-catalog/App_Installers_Software_Titles

5. Vendor / MDM deployment docs

After the four ecosystem checks, do a targeted web search for official deployment documentation. The goal is to surface the kind of links a MacAdmin would actually deploy from (vendor admin guides, Jamf knowledge-base entries, and well-known MacAdmin community references), not blog posts or forum threads.

Use the WebSearch tool with these queries (run in parallel; pick the best 2–4 results across all queries):

1. "<APP_NAME>" enterprise deployment macOS
2. "<APP_NAME>" Jamf Pro deployment
3. "<APP_NAME>" MDM configuration profile
4. "<APP_NAME>" site:learn.jamf.com OR site:community.jamf.com

Filter aggressively. Prefer in this order:

1. The vendor's own admin/IT documentation (e.g., support.google.com/chrome/a/, support.1password.com/business-deployment/, support.zoom.us/hc/en-us/sections/200305593).
2. learn.jamf.com knowledge-base articles.
3. community.jamf.com threads marked as accepted solutions, only when (1) and (2) are absent.
4. macadmins.org resources or well-known MacAdmin slugs (e.g., macadmins.slack.com channel references in indexed pages, not the live Slack).

Reject:

• Random blog posts, Medium articles, YouTube tutorials.
• Vendor consumer support pages that aren't about deployment.
• Outdated pages (>3 years old) unless they're the canonical reference.
• App-Store-only deployment guides for apps with non-MAS deployment paths.

If no high-quality result surfaces after the search pass, print:

  (no official deployment docs surfaced)

This is honest output; most apps don't have well-documented MDM deployment paths, and saying so is more useful than fabricating links.

Output format

After all five checks, emit a single consolidated report. Use the structure below verbatim: fixed-width labels, two-space indent for results, blank line between sections:

App: <APP_NAME>
─────────────────────────────────────────────────────────────

Installomator
  <label-name>                             score <NN>  (direct|normalized|fuzzy, exact|high conf|below threshold)
  ...

Homebrew Cask
  <token>                                  v<version>[ deprecated][ disabled]
  ...

AutoPkg
  <recipe-path>                            (source: local | github-search)
  ...

Jamf App Installer
  skipped (no Jamf access). Browse public catalog at:
  https://learn.jamf.com/r/en-US/jamf-app-catalog/App_Installers_Software_Titles

Deployment docs
  <title>
    <url>
  ...

If an ecosystem has no matches, print (no matches) indented in place of the result list. If an ecosystem fails, print the failure note as above. The "Deployment docs" section follows the same convention: (no official deployment docs surfaced) when nothing meets the quality bar.

Confidence-flag legend

For Installomator (the only ecosystem that uses fuzzy scoring):

Score	Flag	Meaning
100	exact	Direct or normalized match. High signal
85–99	high conf	Above Patcher's default matching threshold
75–84	below threshold	Below the default threshold; surfaced for visibility but would NOT be picked up by Installomator.match() automatically

What this skill does NOT do

• Does not write to a database or any DB-style file. Read-only.
• Does not propose canonical-app-DB inserts. That's a separate skill for after the Patcher API DB schema lands.
• Does not validate that matched packages are still installable. Match quality is about identity, not freshness; the Last-Verified-At story belongs to the API DB layer, not this lookup utility.
• Does not require Jamf Pro tenant access. The App Installers ecosystem is explicitly skipped until tenant access is restored.
• Does not fetch release/version metadata from the Patcher API. If the user wants current version data, point them at the patcherctl CLI or the importable PatcherClient.

Failure modes to handle gracefully

• Labels.txt fetch fails → print the unreachable note in the Installomator section; continue with the rest.
• cask.json fetch fails → print "(catalog unreachable)" in the Homebrew section.
• Both autopkg + gh unavailable → print the install note in the AutoPkg section.
• rapidfuzz import fails → user's venv isn't synced; print "(matching unavailable; run make install-dev to sync dev deps)" and skip the Installomator section.
• WebSearch returns nothing usable → print "(no official deployment docs surfaced)".
• No matches anywhere → still emit the full report with (no matches) per ecosystem. The absence is itself useful information.