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/asc-analytics-reports

Collect, download, and verify App Store Connect Analytics reports with asc. Use when users need to discover analytics report requests, select report instances by processing date or granularity, download every segment, or verify downloaded files against Apple's size and MD5

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rorkai-app-store-connect-cli-skills
1k25 skills
Install
$ npx -y skills add rorkai/app-store-connect-cli-skills --skill asc-analytics-reports --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/asc-analytics-reports

Context preview

The summary Claude sees to decide when to auto-load this skill.

Collect, download, and verify App Store Connect Analytics reports with asc. Use when users need to discover analytics report requests, select report instances by processing date or granularity, download every segment, or verify downloaded files against Apple's size and MD5

SKILL.md

asc-analytics-reports.SKILL.md
name: asc-analytics-reports
description: Collect, download, and verify App Store Connect Analytics reports with asc. Use when users need to discover analytics report requests, select report instances by processing date or granularity, download every segment, or verify downloaded files against Apple's size and MD5 metadata before analysis.

asc analytics reports

Collect a complete set of analytics report segments and verify the compressed files before handing them to a separate analysis workflow. Do not interpret, aggregate, or present the report contents as part of this skill.

Guardrails

  • Treat report inventories, signed URLs, downloaded segments, and identifiers as

confidential business data.

  • Prefer an existing request. Creating a request changes App Store Connect state

and requires an Admin-authorized profile; obtain explicit user approval before running `asc analytics request`.

  • Never delete or replace a request as part of collection.
  • Use `asc analytics download`; do not fetch or persist signed segment URLs

separately.

  • Store private files outside the source repository with owner-only permissions.
  • Do not claim the collection is complete if any expected segment is missing or

fails verification.

1. Verify the CLI contract

Inspect the installed command before authentication or collection:

asc analytics view --help

Continue only when help lists `--processing-date`, `--granularity`, `--paginate`, and `--include-segments`. These filters require asc 3.5.0 or newer. If either filter is absent, ask the user to upgrade. Do not substitute the deprecated `--date` flag because it uses legacy local matching rather than Apple's server-side processing-date filter.

2. Prepare private storage

Create a private temporary directory outside the repository before capturing JSON or downloading segments:

umask 077
ASC_ANALYTICS_DIR="$(mktemp -d "${TMPDIR:-/tmp}/asc-analytics.XXXXXX")"
mkdir -m 700 "$ASC_ANALYTICS_DIR/segments"

Redirect command output and errors into this directory. Do not paste raw inventory JSON or error output into chat, commits, issues, or pull requests.

3. Find an existing request

Resolve the app ID and selected asc profile, then list every request:

asc --profile "$PROFILE" analytics requests \
  --app "$APP_ID" \
  --paginate \
  --output json \
  > "$ASC_ANALYTICS_DIR/requests.json" \
  2> "$ASC_ANALYTICS_DIR/requests.stderr"

Inspect the JSON structurally and select an existing usable request. Do not rely on `--state` when discovery works without it. If no usable request exists, stop and ask whether the user wants to create `ONGOING` or `ONE_TIME_SNAPSHOT` access. State the target app and profile before requesting approval. After approval, prefer `--reuse-existing` to avoid duplicates:

asc --profile "$APPROVED_PROFILE" analytics request \
  --app "$APP_ID" \
  --access-type "$ACCESS_TYPE" \
  --reuse-existing \
  --output json \
  > "$ASC_ANALYTICS_DIR/request.json" \
  2> "$ASC_ANALYTICS_DIR/request.stderr"

Do not run that command without explicit approval. Read the returned request ID from the private JSON response before continuing:

REQUEST_ID="$(jq -er '.requestId' "$ASC_ANALYTICS_DIR/request.json")"

When a request was created or reused with the approved profile, set `ANALYTICS_PROFILE="$APPROVED_PROFILE"`. For an existing request discovered with the read-only profile, set `ANALYTICS_PROFILE="$PROFILE"`. Use that same profile for every subsequent `analytics view` and `analytics download` call.

4. Discover and select report instances

First retrieve report and instance metadata without segment URLs:

asc --profile "$ANALYTICS_PROFILE" analytics view \
  --request-id "$REQUEST_ID" \
  --paginate \
  --output json \
  > "$ASC_ANALYTICS_DIR/discovery.json" \
  2> "$ASC_ANALYTICS_DIR/discovery.stderr"

Select an available `processingDate` and the granularity requested by the user. Accept `DAILY`, `WEEKLY`, and `MONTHLY`, individually or as a comma-separated list. Split the input on commas, trim each token, and normalize it to uppercase. Validate every token against that allowlist, including empty tokens. Report the invalid input and stop before running `analytics view`; never silently discard unsupported values or continue with an empty filter. After validation, remove duplicates and join the remaining values with commas. Treat `processingDate` as the date Apple processed the report, not necessarily the period represented by its rows.

Retrieve the filtered inventory, including all segment metadata:

asc --profile "$ANALYTICS_PROFILE" analytics view \
  --request-id "$REQUEST_ID" \
  --processing-date "$PROCESSING_DATE" \
  --granularity "$GRANULARITY" \
  --paginate \
  --include-segments \
  --output json \
  > "$ASC_ANALYTICS_DIR/inventory.json" \
  2> "$ASC_ANALYTICS_DIR/inventory.stderr"

Always use `--paginate`; asc follows Apple-provided report and instance next links. Do not reconstruct, alter, or follow pagination URLs manually.

5. Download every segment

Parse `inventory.json` structurally. For every selected instance, enumerate all segments and retain each segment's exact ID, `sizeInBytes`, and `checksum` for verification. Do not print `downloadUrl`.

Download each segment by its request, instance, and segment IDs. Use a filename derived only from the segment ID and keep the compressed bytes intact. Analytics reports are tab-delimited text, so use `.txt.gz` rather than implying CSV:

SEGMENT_FILE="$ASC_ANALYTICS_DIR/segments/$SEGMENT_ID.txt.gz"
asc --profile "$ANALYTICS_PROFILE" analytics download \
  --request-id "$REQUEST_ID" \
  --instance-id "$INSTANCE_ID" \
  --segment-id "$SEGMENT_ID" \
  --output "$SEGMENT_FILE" \
  > /dev/null \
  2>> "$ASC_ANALYTICS_DIR/download.stderr"

Do not use `--decompress` before verification. If an instance has multiple segments, download every one; never treat the first segment as

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Ships withrorkai-app-store-connect-cli-skills

A collection of Agent Skills for shipping with the asc cli (asc). These skills help agents run builds, TestFlight, metadata, submissions, signing, and Apple Ads workflows. This is a community-maintained, unofficial skill pack and is not affiliated with Apple.

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Repo: rorkai/app-store-connect-cli-skills