dx-apexguru-scan

ApexGuru Performance Scan Skill

CRITICAL: Mandatory Script Usage

Every step — token resolution, zipping, API calls, and report decoding — MUST go through the bundled scripts in <skill_dir>/scripts/. No exceptions.

WRONG — never do this:

# WRONG: hand-rolled curl to the API
curl -X POST https://api.salesforce.com/... -F file=@x.zip

# WRONG: inline base64 + jq to read the report
cat raw.json | jq -r .report | base64 -d | jq '.[]'

# WRONG: reading the raw result file directly (report is a large base64 blob)
Read tool → apexguru-raw-*.json

# WRONG: inline node/python to parse violations
node -e "const r = require('./raw.json'); ..."

RIGHT — always do this:

# PREFERRED — one command runs all three steps (package → submit+poll →
# decode+present) and prints the ready-to-show report as its final stdout.
# Use this for every initial scan: it cannot be left half-finished.
bash "<skill_dir>/scripts/scan.sh" "<project-root>"

# Optionally persist the presented markdown to a file as well:
bash "<skill_dir>/scripts/scan.sh" "<project-root>" --out ./apexguru-report.md

The three underlying scripts still exist and scan.sh calls them in order. Invoke them individually only for drill-downs on an already-scanned result (Step 5), or when you deliberately need to inspect an intermediate artifact:

# Equivalent manual chain (scan.sh runs exactly these, in this order):
bash "<skill_dir>/scripts/build-zip.sh" "<project-root>" "./apexguru-<TS>.zip"
bash "<skill_dir>/scripts/run-scan.sh"  "./apexguru-<TS>.zip" "./apexguru-raw-<TS>.json"
node "<skill_dir>/scripts/decode-report.js" "./apexguru-raw-<TS>.json" --present

# Drill into a subset WITHOUT re-scanning (reuse the raw file scan.sh left, or
# pass --raw to scan.sh to keep it at a known path):
node "<skill_dir>/scripts/decode-report.js" "./apexguru-raw-<TS>.json" --rule SOQL_IN_LOOP --full
node "<skill_dir>/scripts/decode-report.js" "./apexguru-raw-<TS>.json" --group file --top 5

<skill_dir> is the absolute path to the directory containing this SKILL.md. Never use ./scripts/ — that resolves against the user's CWD, not the skill dir.

Any filter/rank/group question ("which file has the most issues?", "show only SOQL-in-loop", "break down by severity") is answered by re-running decode-report.js with flags against the same raw result file — never re-scan, never parse the JSON by hand.

CRITICAL: Present --present output verbatim — never condense it

decode-report.js --present (Step 4) already produces the final, ready-to-show markdown: severity legend, one detail card per violation (message, code, fix, resource link), and a closing summary table. That stdout is the response. Print it to the user exactly as printed — do not rewrite it into a shorter table, do not drop the per-issue cards down to just the summary table, and do not wait for the user to ask "explain a violation" before including message/fix/resource. Condensing it defeats the entire point of --present.

The attribution is already in that stdout — the summary line is the exact output that states the mode (e.g. "ApexGuru (static analysis) is active. To unlock runtime intelligence…"). Do NOT prepend or append your own attribution sentence (no "Attribution: analysisMode: static…", no naming the org, no restating "static-only findings"). The script's line is the complete, approved wording; adding your own makes the output non-deterministic and off-message.

WRONG — never do this:

Top Issues (worst first)
#  Severity   Rule                      Method    Line
1  Major      UsingTheTestMethodKeyword legacy... 136
...
Key Antipatterns Detected:
- SOQL/DML in loops (3 violations)

(a hand-built summary that drops every message/code/fix — even for violations that had one)

Attribution: analysisMode: static — source-only analysis. The scanned org
(ag-skills-org) is not onboarded to ApexGuru's full runtime metrics, so
these are static-only findings.

(an agent-authored attribution line prepended to the report — the script's own summary line already states the mode; this duplicate is non-deterministic and names an org the script never had access to)

RIGHT — always do this:

Paste the full stdout from decode-report.js --present — every ### Issue N card and the closing ## Summary table — unedited, in one response.

Overview

ApexGuru detects performance antipatterns in Apex (SOQL/DML in loops, Schema.getGlobalDescribe(), SOQL without WHERE/LIMIT, unused SOQL fields). This skill drives the ApexGuru SFAP Scan API: it packages the user's Apex (every .cls/.trigger under the project root, any layout) into a zip, submits it, polls until the scan finishes, decodes the base64-encoded report, and presents violations grouped by rule with severity, file:line, and suggested fixes.

Attribution is mandatory. The API returns analysisMode:

• static → source-only analysis → label results "Static only".
• full → enriched with runtime metrics from an org onboarded to ApexGuru →

label results "Production insights".

decode-report.js --present already renders this attribution into its summary line and title ("Static only" / "Production insights") — that satisfies the mandatory-attribution requirement. Print that line as the exact output; do not author your own attribution sentence or name the org. If the user expected full but got static, the script's static-mode line already explains the org is not onboarded — point them to it rather than restating it (see error handling).

In scope: zipping a project's Apex, submitting/polling the scan, decoding + presenting violations, filtering/grouping existing results, troubleshooting API errors.

Out of scope: general static analysis / security / lint (→ dx-code-analyzer-run, which lists ApexGuru as an engine), applying fixes to code, onboarding an org to ApexGuru, minting SFAP tokens.

Prerequisites

• An authenticated `sf` CLI org (sf org login web ...). resolve-token.sh

derives the SFAP JWT from it via <instanceUrl>/ide/auth — this is the normal IDE-session path. Alternatively, set APEXGURU_SFAP_TOKEN / APEXGURU_SFAP_TOKEN_FILE to supply a JWT directly (CI/headless). The org is derived from the token's tnk claim — no org id is passed. Pass --org <alias> to pick a specific org. See <skill_dir>/references/authentication.md. If no token can be resolved, the script returns a clear error with a hint.

• `sf`, `bash`, `curl`, `zip`, `jq`, `node` on PATH (standard on macOS/Linux dev boxes).
• A folder containing Apex — an sfdx project, a force-app/ subtree, or any

folder with .cls/.trigger files. build-zip.sh collects all Apex beneath it regardless of layout; the API walks the whole archive.

Workflow

Step 1: Identify the project root

The project root is any folder that contains Apex somewhere beneath it (usually an sfdx project root next to sfdx-project.json, but a force-app/ subtree or a loose folder of .cls files works too). If the user gave a path, use it; otherwise use the current working directory. build-zip.sh collects every .cls/.trigger under it (any layout) and fails clearly if none exists.

Step 2: Package the project

TS=$(date +%Y%m%d-%H%M%S)
bash "<skill_dir>/scripts/build-zip.sh" "<project-root>" "./apexguru-${TS}.zip"

Output JSON gives zip, bytes, humanSize, apexFileCount, scanRoot. The script enforces the 200MB compressed limit and fails fast if exceeded. On error (error/hint fields), relay the hint and stop.

Step 3: Submit and poll

bash "<skill_dir>/scripts/run-scan.sh" "./apexguru-${TS}.zip" "./apexguru-raw-${TS}.json"

• Add --fast if the user wants a quicker/cheaper run (skips LLM-heavy fix

generation).

• The endpoint follows the token's environment — the base URL is derived

from the token's tnk claim: a prod org hits api.salesforce.com, and an internal stage/dev org hits stage./dev.api.salesforce.com. Customers authenticate a prod org, so they always hit prod; no extra flags or config.

• --org <alias> picks which authenticated sf org the JWT is derived from

(omit to use the CLI's default org).

• Progress (QUEUED → RUNNING → SUCCEEDED) streams to stderr; the script polls

~every 15s. Default ceiling is 10 min (--max-polls, --interval to adjust).

• On success, stdout is a one-line JSON summary and the full raw body is written to

apexguru-raw-${TS}.json. On failure, stdout is {error, httpStatus, status, hint} — relay the hint. For status-code specifics see <skill_dir>/references/error-handling.md.

• Foreground only. Do not background this; polling output must be observed.
• A SUCCEEDED scan is not the finish line. The raw result is a base64 blob,

not a user-facing answer. Do not stop or report "done" after the scan succeeds — you MUST continue to Step 4 to decode and present the report. Ending the turn at Step 3 leaves the user with nothing readable.

Step 4: Decode and present

node "<skill_dir>/scripts/decode-report.js" "./apexguru-raw-${TS}.json" --present

--present is the default way to decode for presentation: it implies --full (no silent caps) and prints ready-to-show markdown directly — a severity legend (Minor / Major / Critical, plus a Tip marker when analysisMode: full enriches severity from production metrics), one ### Issue N card per violation (message, current code, suggested fix, help-doc link) for the non-hotspot rules — capped at --top (default 10) worst-first, with the cap stated in the heading — and a closing ## Summary table listing every violation regardless of the card cap. ExpensiveMethods (a per-method CPU-hotspot ranking from full mode, not a line-level antipattern) is collapsed into its own ranked "CPU Hotspots" table instead of repeating a near-identical card per method. Print this output to the user verbatim — present immediately — do not pause to ask, and do not re-summarize it into a shorter table.

For Step 5 drill-downs (filtering/grouping an existing result), the bare (non---present) JSON form is fine — see the reading rules below, which apply whenever you run the script without --present.

DO NOT: invent script code, use bare ./scripts/... paths, decode base64 inline, jq the report field, or Read the raw file directly.

Instructions for reading bare (non---present) decode-report.js output

The command prints one JSON object to stdout. Read it field by field before presenting anything — do not eyeball a partial view as complete:

1. Check `truncated` first, before anything else. If true, groups was

capped to the top --top (default 10) rules, each group's sample was capped to 3 items, and topViolations was capped to --top items. Never present a `truncated:true` result as the full picture. Re-run the same command with --full appended and use that output instead. Only skip this if the user explicitly asked for a quick/partial look.

1. State attribution from `analysisMode`/`attribution` — static/"Static

only" or full/"Production insights". This is mandatory on every response, per "Attribution is mandatory" above.

1. `serverViolationBreakdown` is the raw API's internal rule-code tally

(e.g. SOQL_IN_LOOP_1HOP, GGD) — it's a sanity-check total (sums to violationCount), not a display name. Never show these codes to the user; use the human-readable groups[].key names instead (e.g. SoqlInALoopOneHop, SchemaGetGlobalDescribeNotEfficient).

1. `severityCounts` (top-level) is the severity distribution across ALL

violations — use it for the summary table. Each groups[] entry has its own severityCounts scoped to just that rule.

1. Build the "Violations by Rule" table from `groups`, one row per entry:

key → Rule, count → Count, severityCounts → Severity, and one sample[0] (or items[0] when --full) → Example (file:line).

1. Build the "Top Issues" table from `topViolations` — already sorted

worst-severity-first. Use rule, severity, file:line, and the first entry of fixes (if non-empty) as Suggested Fix. If fixes is empty, omit that column's value rather than inventing a fix.

1. When the user asks to explain a specific violation ("what does this

mean", "why is this flagged"), surface that violation's message (plain- language why) and resources[0] (Help Doc URL) verbatim — both exist on every violation object but are intentionally left out of the summary tables in step 5/6 to keep those scannable. Fall back to references/violation-catalog.md only if message is empty.

1. `fixes` being `[]` is expected, not an error — the API's suggestions

field (fix code) isn't populated for every rule (notably ExpensiveMethods, a CPU ranking with no single-line fix); don't say "no fix available", just omit the column.

1. With --full, each group also carries an items array (every violation for

that rule, not just the 3-item sample) — use items instead of sample when the user wants the complete list for one rule ("show me all the SOQL unused-fields ones").

Presentation template (fallback — only when NOT using --present)

--present (the default, per Step 4 above) already renders the full severity-legend + issue-cards + summary-table output described in the "Instructions for reading bare output" section — just print its stdout verbatim. Only build a table by hand from bare JSON if --present genuinely can't be used (e.g. scripting/CI context with no markdown renderer):

Filling the `<Static only | Production insights>` title placeholder: derive the label from the attribution field (not analysisMode alone) — it already encodes the three states:

• "Production insights" (analysisMode: full with runtime metrics) —

enriched with production runtime metrics.

• "Static only" + analysisMode: full (no runtime metrics) — org is

onboarded, but there's no runtime data for this code yet; generate a runtime report in Scale Center.

• "Static only" + analysisMode: static — source-only. Onboard the org to

ApexGuru for production insights.

The fenced block below is the literal rendered output — substitute the real values and print it; do not emit any of the guidance above:

## ApexGuru Scan Complete — <Static only | Production insights>

**Found X performance violations** across Y files.

| Severity | Count |
|----------|-------|
| Critical (1) | X |
| High (2) | X |
| Moderate (3) | X |

### Violations by Rule
| Rule | Count | Severity | Example |
|------|-------|----------|---------|
| SOQL_IN_LOOP | 15 | High (2) | AccountService.cls:42 |
| DML_IN_LOOP | 8 | Critical (1) | AccountService.cls:60 |
| GGD | 2 | Moderate (3) | Utils.cls:12 |

### Top Issues
| # | Rule | Sev | File:Line | Suggested Fix |
|---|------|-----|-----------|---------------|
| 1 | DML_IN_LOOP | 1 | AccountService.cls:60 | Collect records; DML once after the loop |
| ... up to 10 |

Raw result: `./apexguru-raw-<TS>.json`

Scale to result size: 0 → "no performance antipatterns found"; 1–10 → one table; 11+ → severity counts + by-rule table + top 10. End with the raw result path. Do not append your own follow-up offer (no "I can drill in without re-scanning…", no "filter by rule / group by file / explain a violation" menu) — --present already prints the script's "show all" footer; that is the complete, approved closing line and adding your own makes the output non-deterministic. Rule-catalog details: <skill_dir>/references/violation-catalog.md.

Step 5: Drill into results (no re-scan)

Re-run decode-report.js against the same raw file with flags:

Constraints & Gotchas

Reference & Script Index

Scripts (execute via bash/node with the absolute <skill_dir>/ prefix, never Read):

References (read on demand):

examples/ contains a sample SUCCEEDED response and a decoded-summary sample.