Borrowing it
Nothing to install: this file belongs to jmxt3/gitscape.ai. 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/jmxt3/gitscape.ai/main/.agents/skills/nvidia-skillspector/SKILL.mdgit clone --depth 1 https://github.com/jmxt3/gitscape.aiWrote 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/jmxt3/gitscape.ai/nvidia-skillspector)<a href="https://agentmods.dev/skills/jmxt3/gitscape.ai/nvidia-skillspector"><img src="https://agentmods.dev/badge/skills/jmxt3/gitscape.ai/nvidia-skillspector/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/jmxt3/gitscape.ai/nvidia-skillspector"><img src="https://agentmods.dev/badge/skills/jmxt3/gitscape.ai/nvidia-skillspector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00086 | $0.01521 |
| Opus 5 | $0.00043 | $0.00760 |
| Sonnet 5 | $0.00017 | $0.00304 |
| Haiku 4.5 | $0.00009 | $0.00152 |
Grade A, and why
nvidia-skillspector 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 10d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skillspector Code Skill
Overview
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, and security risks before installing agent skills.
Top-level areas: .github/, contrib/, docs/, extensions/, src/, tests/.
Primary languages: Python, TypeScript, Shell. The codebase contains 282 public symbols across 69 source files.
Key symbols:
is_language_compatibledef is_language_compatible(rule_id: str, detected_language: str) -> bool— ReturnTruewhen rule_id is reliable for detected_language.annotate_findingsdef annotate_findings( issues: list[dict[str, object]], detected_language: str, ) -> list[dict[str, object]]— Add alanguage_compatiblefield to each issue dict.ApiKeyclass ApiKey— A single API key with concurrency and rate-limit metadata.ApiKey.availabledef available(self) -> bool—Truewhen this key can accept at least one more caller.ApiKeyPoolclass ApiKeyPool— Thread-safe pool of API keys with per-key concurrency slots.ApiKeyPool.__init__def __init__(self, keys: list[ApiKey]) -> NoneApiKeyPool.acquiredef acquire(self, timeout: float | None = None) -> ApiKey— Acquire a slot on the least-loaded available key.ApiKeyPool.try_acquiredef try_acquire(self) -> ApiKey | None— Non-blocking acquire — returns a key immediately orNone.ApiKeyPool.releasedef release(self, key: ApiKey, *, success: bool = True) -> None— Release a slot on key back to the pool.ApiKeyPool.record_retry_successdef record_retry_success(self) -> None— Increment the retry-success counter for reporting.ApiKeyPool.rate_limits_hitdef rate_limits_hit(self) -> int— Total number of 429 responses encountered across all keys.ApiKeyPool.retry_successesdef retry_successes(self) -> int— Total number of successful retries after a key switch.ApiKeyPool.keys_configureddef keys_configured(self) -> int— Total number of keys in the pool.ApiKeyPool.total_capacitydef total_capacity(self) -> int— Sum ofmax_concurrentacross all keys.ApiKeyPool.active_requestsdef active_requests(self) -> int— Total active requests across all keys.ApiKeyPool.snapshotdef snapshot(self) -> dict[str, object]— Return a snapshot dict suitable for report metadata.PooledChatModelclass PooledChatModel— LangChain-compatible chat model wrapper with transparent key switching.PooledChatModel.__init__def __init__( self, pool: ApiKeyPool, *, max_tokens: int = 4096, timeout: float = 30.0, max_retries: int = _MAX_RATE_LIMIT_RETRIES, ) -> NonePooledChatModel.invokedef invoke(self, prompt: str) -> object— Synchronous invoke with automatic key switching on rate-limit.PooledChatModel.ainvokedef ainvoke(self, prompt: str) -> object— Async invoke with automatic key switching on rate-limit.
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- exporters/nvidia_skillspector_adk_skill.py 1.7 KB runs code
- exporters/nvidia_skillspector_agno_skill.py 976 B runs code
- manifest.json 12 KB
- references/api.md 48 KB
- references/architecture.md 9.8 KB
- references/config.md 73 B
- references/examples.md 6.4 KB
- references/nvidia_skillspector_digest.txt 1891 KB
- references/setup.md 968 B
- scan-report.json 4.0 KB
- scan-report.sarif 44 KB
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.
- 10d ago First seen · 103 lines · 86 tokens per session scan A d135bb6b74f9
nvidia-skillspector is a skill published in the GitHub repository jmxt3/gitscape.ai (33 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 86 tokens to every session and 1,521 once invoked, about $0.0004 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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