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Coverage trend

Skill vhmarquez/argo/skills/coverage-trend

Persist Apex code-coverage results over time and surface regressions. After each /argo:test-coverage run (or via this skill directly), append the result to a per-project history file and show the trend. PR-mode diffs against the baseline.From its SKILL.md

Install
npx -y skills add vhmarquez/argo --skill coverage-trend

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

4.5 KB, as published. Nobody here has run it

You are tracking Apex coverage over time so regressions are visible. The history is per-project, stored in ${CLAUDE_PLUGIN_DATA}/argo/coverage/<project>/history.jsonl (one JSON line per run).

Read Project Config First

source "${CLAUDE_PLUGIN_ROOT}/hooks/lib/config.sh"
PROJECT_NAME="$(sf_config_get '.project.name' "$ENV")"
COVERAGE_TARGET="$(sf_config_get '.quality.codeCoverageTarget' "$ENV")"
SLUG="$(printf '%s' "$PROJECT_NAME" | tr '[:upper:] /' '[:lower:]_-' | tr -cd 'a-z0-9_-')"
HISTORY_DIR="${CLAUDE_PLUGIN_DATA:-$HOME/.claude/plugin-data}/argo/coverage/${SLUG}"
mkdir -p "$HISTORY_DIR"

Input

$ARGUMENTS:

  • (empty) — run sf apex run test --code-coverage and append the result to history
  • record <coverage-json> — accept a coverage JSON from another tool (e.g., the existing /test-coverage skill); append it to history
  • show [--last N] — print the last N runs (default 10) as a Markdown table
  • diff [--vs <ref>] — compare current coverage against the run at git ref <ref> (default main HEAD)
  • pr — PR mode: compute diff vs. main, exit 1 if any class regressed, exit 0 if same or improved
  • --target-org <alias> / --env <name> — for the sf query in default mode

Steps

1. Run coverage (default mode) or accept input (record mode)

Default:

ORG="$(sf_config_get '.platform.defaultTargetOrg' "$ENV")"
sf apex run test --target-org "$ORG" --test-level RunLocalTests --code-coverage --result-format json --wait 30 > /tmp/cov.json

Capture per-class coverage from the JSON. Compute project-wide rollup.

2. Build the history record

{
  "ranAt":     "2026-04-28T12:30:00Z",
  "git":       { "branch": "main", "sha": "abc123", "isDirty": false },
  "overall":   { "coveredLines": 12450, "totalLines": 14200, "percent": 87.7 },
  "perClass":  [
    { "name": "OrderService", "covered": 142, "total": 150, "percent": 94.7 },
    { "name": "OrderApiClient", "covered": 38, "total": 60, "percent": 63.3 }
  ],
  "target":    85,
  "passed":    true
}

Append to ${HISTORY_DIR}/history.jsonl as a single line.

3. show [--last N]

Read the last N records. Output a Markdown table:

# Coverage Trend: <project.name>

| Run                  | Overall | Δ      | Below Target |
|----------------------|---------|--------|--------------|
| 2026-04-28T12:30:00Z | 87.7%   | +0.2%  | OrderApiClient (63.3%) |
| 2026-04-27T18:14:22Z | 87.5%   | -0.5%  | OrderApiClient (63.3%) |
| ...

4. diff [--vs <ref>]

Find the most recent history record whose git.sha matches <ref>'s HEAD. Compare class-by-class against the latest record. Output:

# Coverage Diff: HEAD vs main (abc123)

## Improved
- OrderService:    91.2% → 94.7% (+3.5%)

## Regressed
- OrderApiClient:  72.0% → 63.3% (-8.7%) ⚠️

## New classes (no baseline)
- DiscountEngine:  85.0%

## Removed classes (baseline only)
- (none)

## Overall: 87.5% → 87.7% (+0.2%)

5. pr mode

Run diff internally. Exit 1 if any class regressed by more than a configurable epsilon (default 0.5 percentage points), exit 0 otherwise. Print the diff regardless.

CI integration: emit findings (one per regression) following the standard contract:

  • ruleId: "COV-REGRESSION" (warning) — class regressed but still ≥ target
  • ruleId: "COV-BELOW-TARGET" (error) — class below quality.codeCoverageTarget%

6. Exit codes

  • 0 — clean, or show/diff informational
  • 1 — pr and any regression > epsilon, or any class below target
  • 2 — query/setup error

Rules

  • Per-line aggregation, not per-method. Salesforce reports lines covered/total; that's the source of truth
  • Only persist on success. If sf apex run test fails, don't append a noise record
  • Don't track tests; track production classes. Skip anything ending in naming.apex.testSuffix
  • History is append-only. Never rewrite past lines — even if a class is renamed; the rename is its own diff event
  • Truncate display. show defaults to last 10 runs to keep the table readable

Consumers

  • CI pipelines run coverage-trend pr to gate merges on coverage regression
  • /argo:release-notes pulls the latest record to include "Coverage: X%" in release notes
  • @qa consults the history when a class drops below target to recommend which tests to add

Keep looking

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