DD seithar-intel
(no description)
Not recommendedlow grade D
As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Add a description to the frontmatter: without it the skill never triggers.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 4
✓ No critical or high findings
Medium and low: 4
-
low Risky intent
intent-offensive-securitySKILL.md:50Offensive-security / dual-use content (legitimate for authorised testing; review intended use)- Malware analysis and reverse engineering
-
low Risky intent
intent-offensive-securitySKILL.md:117Offensive-security / dual-use content (legitimate for authorised testing; review intended use)- **MALWARE** — Malware analysis, RE findings, campaign reports
-
low Risky intent
intent-offensive-securitySKILL.md:206Offensive-security / dual-use content (legitimate for authorised testing; review intended use)T1068 — Exploitation for Privilege Escalation
-
low Risky intent
intent-offensive-securitySKILL.md:346Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)"interests": ["malware analysis", "social engineering", "network exploitation"],
quoted
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
frontmatterSKILL.md: no YAML frontmatter block found - error
name-missingSKILL.md: frontmatter has no `name` - error
description-missingSKILL.md: no `description` — the skill can never trigger
Process rating: all ten parameters 45/100
- 0Result and completion. Does not say what the result is
- 0When it triggers. No condition that starts the skill
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 9 mutating operations with no state check
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 60Failures and branches. 2 branches
- 70Execution cost. Instruction body is 4434 tokens
- 100Steps. 44 steps
- 100Consistency. Name and required fields are in place
- low 13 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 0: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 30 headings
- +3Step-by-step instructions: 44 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.
External checks
ClawHub: clean
This is a disclosed threat-intelligence briefing skill with scheduled feed checks, external lookups, and memory use that fit its stated purpose, though users should understand the privacy tradeoffs.
LLM: benign (high) · VirusTotal: benign · 28 May 2026