Is ai-concept-generation safe to install?

SaferSkills independently audited ai-concept-generation (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.

skills/ai-concept-generation/SKILL.md · 1 file

skills/ai-concept-generation/SKILL.md1.5 KB · Markdown

name: ai-concept-generation

description: Use when preparing landscape AI concept prompts, generating multiple visual directions from a measured base plan, logging generation batches, selecting variants, and protecting geometry from AI drift.

AI Concept Generation

Goal

Generate managed concepts from measured plan, brief, site analysis, and designer logic instead of random beautiful images.

Before Generation

Check for AI-ready base in 02_base_plan/04_ai_ready_base.
Check 03_client_context/BRIEF.md and 03_client_context/SITE_ANALYSIS.md.
Create 3-5 written concepts in 04_ai_concepts/01_concept_variants.
Fill the structure from 04_ai_concepts/CONCEPT_BRIEF_TEMPLATE.md for each concept.
Prepare common inputs in 04_ai_concepts/00_common_inputs.

Generation

Run a separate batch for each concept.
Use prompts from 90_prompt_library as a base, but save the actual prompt.
Record each batch in 04_ai_concepts/GENERATION_LOG.md: source files, exact prompt, service/model, settings, result files, selection reason, geometry risks.
Check: boundaries, house, entry, permanent structures, utilities, proportions.
Reject options where AI broke geometry even if they look attractive.

Selection

In 04_ai_concepts/SHORTLIST.md, record:

what is shown to the client;
which elements can be used in the project;
which elements are mood-only;
risks and caveats.

Output

3-5 written concepts.
Filled generation log.
Shortlist of 5-7 client-facing options.

ai-concept-generation— agent skill

Is ai-concept-generation safe to install?

AI Concept Generation

Goal

Before Generation

Generation

Selection

Output

Audit the pieces. Scan the whole. Decide.