Borrowing it
Nothing to install: this file belongs to prebid/salesagent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/prebid/salesagent/main/.claude/skills/surface/SKILL.mdgit clone --depth 1 https://github.com/prebid/salesagentWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/prebid/salesagent/surface)<a href="https://agentmods.dev/skills/prebid/salesagent/surface"><img src="https://agentmods.dev/badge/skills/prebid/salesagent/surface/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/prebid/salesagent/surface"><img src="https://agentmods.dev/badge/skills/prebid/salesagent/surface.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What 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 5.1 | $0.00056 | $0.00794 |
| Opus 5.5 | $0.00022 | $0.00318 |
| Sonnet 5.5 | $0.00011 | $0.00159 |
| Haiku 4.5 | $0.00006 | $0.00079 |
Grade A, and why
surface 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 1mo ago.
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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Entity Test Surface Mapping
Create canonical test suites per domain entity by mapping all test obligations to real tests or stubs. This gives complete visibility into what's tested and what's missing.
Args
/surface <entity-name-1> [entity-name-2] ...
Entity names (space-separated). Each gets a test file at
tests/unit/test_{entity_name}.py (hyphens → underscores).
Entity → Obligations Mapping
| Entity | Primary Obligations | Output File |
|---|---|---|
| product | UC-001 | test_product.py |
| media-buy | UC-002, UC-003 | test_media_buy.py |
| delivery | UC-004 | test_delivery.py |
| creative-formats | UC-005 | test_creative_formats.py |
| creative | BR-UC-006 | test_creative.py |
| properties | BR-UC-007 | test_properties.py |
| audience-signals | BR-UC-008 | test_audience_signals.py |
| performance | BR-UC-009 | test_performance.py |
| capabilities | BR-UC-010 | test_capabilities.py |
| pricing-option | business-rules, constraints | test_pricing_option.py |
| transport-boundary | #1050/#1066 principles | test_transport_boundary.py |
All entities also check cross-cutting files: business-rules.md, constraints.md.
What You Get
For each entity, a test module containing:
- Real tests: Ported from existing (possibly scattered) test files
- Skip stubs:
@pytest.mark.skip(reason="STUB: [obligation-ID]")for every gap - Obligation traceability: Each test/stub references its obligation ID
Open test_creative.py → see 89 test names → 30 real, 59 stubs → know exactly what's missing.
Protocol
Step 1: Cook the molecule
python3 .claude/scripts/cook_formula.py \
--formula .claude/formulas/entity-test-surface.yaml \
--var "ENTITY_NAMES={all_args}" \
--epic-title "Surface: {all_args}"
Dry run first (recommended):
python3 .claude/scripts/cook_formula.py \
--formula .claude/formulas/entity-test-surface.yaml \
--var "ENTITY_NAMES={all_args}" \
--epic-title "Surface: {all_args}" \
--dry-run
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.
- 1mo ago First seen · 96 lines · 56 tokens per session scan A b6f6c80831da
surface is a skill published in the GitHub repository prebid/salesagent (39 stars, last pushed yesterday), licensed Apache-2.0. It adds 56 tokens to every session and 794 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-01.
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