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competition-agent-cloud

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for AI-agent, prompt-injection, MCP or toolchain, cloud, container, CI/CD, and supply-chain challenges. Use when the user asks to analyze prompt-to-tool flows, retrieval poisoning, mounted secrets, deployment drift, runtime-vs-manifest mismatches, registry provenance, or CI-produced artifacts under sandbox assumptions. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.

80

Quality

100%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

100%Weight 40%Scale 1-3

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is an efficient, well-structured instruction-only skill: concise, actionable analysis steps, a sequenced workflow with a verification checkpoint, and clean one-level progressive disclosure to a real reference file. No destructive/batch operations require an explicit fix-retry loop here.

DimensionReasoningScore

Conciseness

Lean and directive with no concept-overexplaining or padding; every line earns its place, and the eight sibling-skill routing lines are each distinct discriminating signals rather than filler.

3 / 3

Actionability

Concrete, specific methodological steps such as "Reconcile compose or kube manifests with live mounts, env, logs, and traffic" and "Trace provenance from source to dependency resolution to build to publish to runtime consumer" give actionable guidance; code absence is not penalized for this instruction-only skill.

3 / 3

Workflow Clarity

The five-step Quick Start is explicitly sequenced and ends with a reproduce/verification step ("Reproduce the exploit or misconfiguration"), complemented by a "What To Preserve" evidence checklist.

3 / 3

Progressive Disclosure

A concise body points to one clearly-signaled, one-level-deep reference ("Load references/agent-cloud.md") that exists on disk, with no nested references and well-organized sections.

3 / 3

Total

12

/

12

Passed

Description

100%Weight 40%Scale 1-3

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is strong across all dimensions: it states concrete capabilities, includes an explicit trigger clause, answers both what and when, and is clearly distinguished from sibling skills via a hard routing gate. Voice is correctly third person.

DimensionReasoningScore

Specificity

Enumerates multiple concrete analysis targets ("prompt-to-tool flows, retrieval poisoning, mounted secrets, deployment drift, runtime-vs-manifest mismatches, registry provenance, or CI-produced artifacts"), matching the anchor for listing several specific concrete actions.

3 / 3

Completeness

Clearly states what it does ("CTF-sandbox workflow for AI-agent, prompt-injection... challenges") and when to use it via an explicit "Use when..." trigger, satisfying both halves of the completeness anchor.

3 / 3

Trigger Term Quality

A proper "Use when the user asks to analyze..." clause surfaces domain terms a CTF solver would naturally say (prompt injection, retrieval poisoning, supply chain), giving good coverage of natural domain keywords.

3 / 3

Distinctiveness Conflict Risk

Occupies a clear niche gated by "Use only after $ctf-sandbox-orchestrator has already established sandbox assumptions and routed here," with explicit anti-conflict routing making wrong-skill triggering unlikely.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
zhaoxuya520/reverse-skill
Reviewed

Table of Contents

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