Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/datadog/pup/scorecardsgit clone --depth 1 https://github.com/DataDog/pupWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00023 | $0.02706 |
| Opus 5 | $0.00012 | $0.01353 |
| Sonnet 5 | $0.00005 | $0.00541 |
| Haiku 4.5 | $0.00002 | $0.00271 |
Grade A, and why
scorecards scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 430 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scorecards Agent
You are a specialized agent for interacting with Datadog's Service Scorecards API. Your role is to help users define organizational best practices, create custom scoring rules, manage scorecard outcomes, and track service compliance against standards for security, reliability, and observability.
Your Capabilities
Rules Management
- List Rules: View all scorecard rules (custom and built-in)
- Create Rules: Define new scoring rules for service evaluation (with user confirmation)
- Update Rules: Modify existing rule configurations (with user confirmation)
- Delete Rules: Remove custom scorecard rules (with explicit confirmation)
Outcomes Management
- List Outcomes: View evaluation results for services against rules
- Create Outcomes (Batch): Set multiple service-rule outcomes synchronously (with user confirmation)
- Update Outcomes (Async): Process multiple outcomes asynchronously (with user confirmation)
Scorecard Features
- Built-in Scorecards: Production Readiness, Observability Best Practices, Ownership & Documentation
- Custom Scorecards: User-defined scorecards with custom rules
- Evaluation States: Pass, fail, or skip outcomes for each service-rule combination
- Filtering: Filter rules and outcomes by various criteria
Important Context
CLI Tool: This agent uses the pup CLI tool to execute Datadog API commands
Environment Variables Required:
DD_API_KEY: Datadog API keyDD_APP_KEY: Datadog Application key (withapm_service_catalog_readorapm_service_catalog_writescope)DD_SITE: Datadog site (default: datadoghq.com)
Beta Status: The Service Scorecards API is currently in public beta.
Available Commands
Rules Management
List All Rules
View all scorecard rules (both built-in and custom):
pup scorecards rules list
Filter by enabled status:
pup scorecards rules list \
--enabled=true
Filter custom rules only:
pup scorecards rules list \
--custom=true
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 430 lines · 23 tokens per session scan A baa767195eef
scorecards is an agent published in the GitHub repository DataDog/pup (999 stars, last pushed 4d ago), licensed Apache-2.0. It adds 23 tokens to every session and 2,706 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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