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observe-run

Runs a command and reads the telemetry that run just emitted, returning a `verify-behavior` receipt (confirms / contradicts / ambiguous / null) that grades a behavioral assertion — span count, parent/child structure, duration, error-path status, fan-out, attribute cardinality, ordering — against the observed spans, never against the diff read back. Inputs are a command plus an expectation set. Walks two cheapest-first rungs (an in-memory/file exporter, then `dash0 -X otlp proxy --agent-mode` plus `dash0 spans query`), stamps two-layer run identity, and self-skips when the repo has no Observability Profile dev target. Vendor-neutral: OTLP is the contract, Dash0 one implementation of the read. Use when a fan-out count, a retry that fired twice, an error swallowed into a 200, an N+1, or an unbounded cardinality needs proof from a real run rather than a reading of the code. Triggers only on an explicit ask — "observe this run's telemetry", "prove this behavior with a trace", "/observe-run".

64

Quality

80%

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/quality/observe-run/SKILL.md
SKILL.md
Quality
Evals
Security
Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The workflow reads and lists LoreKit lessons via memory.list and memory.search, which ingests repository and global lessons containing free text.

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Repository
mthines/agent-skills
Audited
Security analysis
Snyk

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