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domain-intel

Passive domain reconnaissance using Python stdlib. Subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, domain availability checks, and bulk multi-domain analysis. No API keys required.

68

Quality

83%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%

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

A well-structured, highly actionable skill body that externalizes logic into a real script and routes users clearly via a decision table. The only weakness is minor redundancy — a duplicated firewall warning and repeated "passive" framing — that keeps conciseness just below the top anchor.

Suggestions

State the WHOIS port-43 / firewall note once (e.g. in Platform compatibility) and remove the verbatim duplicate in Notes.

Consolidate the repeated "passive" emphasis so the framing appears once rather than across the intro, the command table, and the Data sources section.

DimensionReasoningScore

Conciseness

The body is mostly lean with no concept padding, but the WHOIS "TCP port 43 — may be blocked on restrictive networks" warning appears verbatim in both Platform compatibility and Notes, and the "passive" framing is repeated, so it could be tightened rather than earning "every token earns its place."

2 / 3

Actionability

Eight fully executable, commented bash commands (e.g. "python3 SKILL_DIR/scripts/domain_intel.py ssl example.com") are copy-paste ready, and the SKILL_DIR convention is explicitly defined, matching the fully-executable anchor.

3 / 3

Workflow Clarity

This is a simple command-dispatch skill where each task is a single unambiguous CLI command; the "When to use this vs built-in tools" decision table provides clear routing, and the operations are passive/read-only so no destructive-checkpoint cap applies.

3 / 3

Progressive Disclosure

The SKILL.md is a concise overview that externalizes implementation into a single one-level-deep, clearly-signaled bundle file (scripts/domain_intel.py, verified present), with well-organized sections and easy navigation.

3 / 3

Total

11

/

12

Passed

Description

82%

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

A specific, well-scoped description with concrete actions and natural trigger terms, clearly occupying a distinct passive-OSINT niche. Its main gap is the absence of an explicit "Use when..." clause, which leaves the highest-weighted dimension (completeness) capped at 2.

Suggestions

Append an explicit trigger clause, e.g. ".Use when the user asks about subdomains, SSL certificate expiry, WHOIS/registration info, DNS records, or whether a domain is available." to raise completeness to 3.

DimensionReasoningScore

Specificity

The description enumerates six concrete actions — "Subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, domain availability checks, and bulk multi-domain analysis" — matching the anchor for listing multiple specific concrete actions.

3 / 3

Completeness

It thoroughly answers "what" (the enumerated operations) but lacks any "Use when..." clause or explicit trigger guidance for when Claude should invoke it, which caps completeness at 2 per the rubric guideline.

2 / 3

Trigger Term Quality

Terms like "subdomain", "SSL certificate", "WHOIS", "DNS records", and "domain availability" are exactly what a user would say to request these operations, giving good natural-term coverage for this domain.

3 / 3

Distinctiveness Conflict Risk

"Passive domain reconnaissance" with WHOIS/SSL/subdomain/DNS operations is a clear niche unlikely to overlap with general research, code, or document skills, matching the distinct-triggers anchor.

3 / 3

Total

11

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
NousResearch/hermes-agent
Reviewed

Table of Contents

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