Is dp-state-designer safe to install?

SaferSkills independently audited dp-state-designer (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

library/specializations/algorithms-optimization/skills/dp-state-designer/SKILL.md · 1 file

library/specializations/algorithms-optimization/skills/dp-state-designer/SKILL.md2.0 KB · Markdown

name: dp-state-designer

description: Assist in designing optimal DP states and transitions

allowed-tools:

- Read

- Write

- Grep

- Glob

DP State Designer Skill

Purpose

Assist in designing optimal dynamic programming states, transitions, and optimizations for complex DP problems.

Capabilities

Identify subproblem structure from problem description
Suggest state representations (dimensions, parameters)
Derive transition formulas
Identify optimization opportunities (rolling array, bitmask compression)
Generate state space complexity estimates
Detect overlapping subproblems

Target Processes

dp-pattern-matching
dp-state-optimization
dp-transition-derivation
advanced-dp-techniques

DP Design Framework

Subproblem Identification: What smaller problems compose the solution?
State Definition: What parameters uniquely identify a subproblem?
Transition Formula: How do we combine subproblem solutions?
Base Cases: What are the trivial subproblems?
Computation Order: In what order should we solve subproblems?
Space Optimization: Can we reduce memory usage?

Input Schema

{
  "type": "object",
  "properties": {
    "problemDescription": { "type": "string" },
    "constraints": { "type": "object" },
    "examples": { "type": "array" },
    "requestType": {
      "type": "string",
      "enum": ["fullDesign", "stateOnly", "transitions", "optimize"]
    }
  },
  "required": ["problemDescription", "requestType"]
}

Output Schema

{
  "type": "object",
  "properties": {
    "success": { "type": "boolean" },
    "state": {
      "type": "object",
      "properties": {
        "definition": { "type": "string" },
        "parameters": { "type": "array" },
        "complexity": { "type": "string" }
      }
    },
    "transitions": { "type": "array" },
    "baseCases": { "type": "array" },
    "optimizations": { "type": "array" }
  },
  "required": ["success"]
}

dp-state-designer— agent skill

Is dp-state-designer safe to install?

DP State Designer Skill

Purpose

Capabilities

Target Processes

DP Design Framework

Input Schema

Output Schema

Audit the pieces. Scan the whole. Decide.