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Provider Scorecard Skill · gtmagents | DecimalAI

sales supportby gtmagents

Provider Scorecard Skill

gtmagents/provider-scorecard

Source gtmagents/gtm-agents ↗License Apache-2.0

Use to track enrichment provider success, cost, latency, and quality trends.

NewMaintained

Automatic

Sales & GTM pack

Last verified 8/23/2026

What it changes

Passed 8 of 21 test cases with the skill, and 13 of 21 without it.

Without skill63%

With skill38%

Checks it passed that the model alone missed

includes credit burn rate as an evaluation metric
includes data confidence score as an evaluation metric
uses a Jira task template for provider improvement tasks

and 1 more in the full report

3 fixed10 passed either way5 still failing4 broke

Pass-rate lift: -25 pp
Tokens: -3%
Agent turns: 0%
Response time: -9%

Model gemini-3.6-flashMeasured 8/23/2026v113 of 22 cases passed with skill · 21 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/gtmagents-provider-scorecard/SKILL.md https://app.decimal.ai/s/gtmagents-provider-scorecard/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add gtmagents-provider-scorecard, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/gtmagents-provider-scorecard/ and pins it in .decimal/skills.lock

decimalai skills add gtmagents-provider-scorecard

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/gtmagents-provider-scorecard/SKILL.md https://app.decimal.ai/s/gtmagents-provider-scorecard/SKILL.md

Raw file: /s/gtmagents-provider-scorecard/SKILL.md ↗ · machine-readable summary at /s/gtmagents-provider-scorecard.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 3

Prompt

We are setting up a monthly performance review for our B2B contact enrichment providers (ZoomInfo, Cognism, Apollo). The team wants to track only raw API response latency and cost per call. What specific operational metrics should be included in our evaluation framework to assess overall data quality and consumption efficiency?

What was checked, without and with the skill
Checked	Without skill	With skill
includes fill percentage as an evaluation metric	Passed	Passed
includes credit burn rate as an evaluation metric	Missed	Passed
includes data confidence score as an evaluation metric	Missed	Passed

case-01 · gemini-3.6-flash · 8/23/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md25 linessingle file

Provider Scorecard Skill

When to Use

Monthly/weekly ops reviews of enrichment vendors.
Before renewing contracts or adjusting credit allocations.
After outages or performance regressions to inform routing changes.

Framework

Metric Definition – success rate, fill %, latency, credit burn, confidence.
Data Sources – provider logs, credit usage tables, QA samples, incident tickets.
Scoring Model – weight metrics by enrichment type and business priority.
Visualization – dashboard or memo highlighting leaders/laggards.
Action Tracker – document optimization experiments and owner assignments.

Templates

Scorecard table per provider.
Executive summary slide with top takeaways.
Jira/Asana template for provider improvement tasks.

Tips

Normalize metrics per enrichment type to avoid unfair comparisons.
Capture qualitative notes (support responsiveness, roadmap access).
Pair with waterfall-blueprint updates to reflect routing decisions.

Track record

Benchmark

8 / 21

test cases passed, vs 13 / 21 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

gtmagents / gtm-agents

plugins/data-signal-enrichment/skills/provider-scorecard/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

gtmagents/waterfall-blueprintUse to design provider sequences, throttling logic, and credit policies for enrichment waterfalls.Close match+9 pp pass-rate lift

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Provider Scorecard Skill

When to Use

Framework

Templates

Tips

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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