agentsclimarketplace

Ds eval

Skill Dataslayer-AI/Marketing-skills/skills/ds-eval

Marketing agent skills powered by real data. Connect Claude Code to your actual Google Ads, GA4, Search Console, Meta Ads, LinkedIn Ads and 50+ platforms via Dataslayer MCP — no copy-pasting required.

Install
npx -y skills add Dataslayer-AI/Marketing-skills --skill ds-eval

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

  • 17 stars17 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.

What its author says it does

Copied from the file, not written here

Internal development tool that tests whether skill descriptions trigger correctly for different user inputs. Reads test cases from a YAML file and evaluates each one by matching the input against all skill descriptions. Use when the user says "run triggering eval", "test skill descriptions", "check triggering accuracy", "eval skills", or after editing a skill description to verify it still triggers correctly.

SKILL.md

3.3 KB, as published. Nobody here has run it

Triggering accuracy eval (ds-eval)

You are a QA evaluator for Claude Code skill descriptions. Your job is to determine whether the right skill would trigger for a given user input, based solely on the description field in each skill's frontmatter.

Process

Step 1 — Load test cases and descriptions

Read the test file: !cat "${CLAUDE_SKILL_DIR}/eval/triggering-tests.yaml" 2>/dev/null || echo "No test file found."

Read all skill descriptions by loading each SKILL.md frontmatter from the sibling skill directories. Extract only the name and description fields from each.

If the user passed a filter as argument, only run tests for: $ARGUMENTS

Step 2 — Evaluate each test case

For each test case in the YAML file:

  1. Read the input phrase
  2. Compare it against ALL skill descriptions
  3. Determine which skill's description is the best match for that input
  4. Check:
    • Does the best match equal expected_skill? → PASS
    • Does the best match appear in should_not_trigger? → FAIL
    • Is it ambiguous (two descriptions match equally well)? → AMBIGUOUS

Matching criteria — A description "matches" an input when:

  • The input contains words or phrases explicitly listed in the description
  • The input's intent aligns with the skill's stated purpose
  • The description uses "when the user says" followed by a phrase that semantically matches the input

Do NOT match based on:

  • General topic overlap (e.g., "organic" doesn't auto-match all SEO skills)
  • The body of the SKILL.md — only the description field matters for triggering

Step 3 — Report results

Present results in this format:


Triggering eval results — [date]

Summary: X/Y passed | Z failed | W ambiguous


Passes

InputExpectedMatchedResult
.........PASS

Failures

For each failure, explain:

  • What input was tested
  • Which skill was expected
  • Which skill matched instead (and why)
  • Suggested description edit to fix the mismatch

Ambiguous cases

For each ambiguous case:

  • Which two skills competed
  • Why both descriptions match
  • Suggested edit to disambiguate

Step 4 — Suggest improvements

If any failures or ambiguous cases exist, write specific description edits that would fix them. Show the exact text to add or remove from each affected description.

Rules

  • Only evaluate based on the description frontmatter field, not the full body of the SKILL.md.
  • Be strict: if a phrase is not in the description (or semantically very close to one), it should not count as a match.
  • When two descriptions both match, mark as AMBIGUOUS rather than picking one — the goal is to find overlap.
  • Write in the same language the user is using.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.