SKILLEMALL.ai

BD building-threat-actor-profile-from-osint

Build comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary motivations, capabilities, infrastructure, and TTPs for proactive defense.

ClawHub Agent Skills author: Chace v1.0.0 MIT-0 4 files body ≈ 3 597 tokens Open the sourceclawhub.ai analyzed 2 d ago

Build comprehensive threat actor profiles using open-source intelligence (OSINT) techniques to document adversary motivations, capabilities, infrastructure…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

GeneratorGitHubPeople and hiringAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
97
Quality 40%
75
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Risky intent intent-offensive-security references/api-reference.md:50
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | Privilege Escalation | TA0004 |
    • low Risky intent intent-offensive-security references/api-reference.md:54
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | Lateral Movement | TA0008 |
    • low Risky intent intent-offensive-security references/api-reference.md:57
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | Command and Control | TA0011 |

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "domain"
    • note frontmatter-key unknown frontmatter key "subdomain"
    • note frontmatter-key unknown frontmatter key "nist_csf"

    Process rating: all ten parameters 46/100

    • 0Result and completion. Does not say what the result is
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (building-threat-actor-profile-from-osint) differs from the folder (threat-actor-osint)
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 22 steps
    • 100Execution cost. Instruction body is 3597 tokens

    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)
    • +3Output format is not stated: the model decides each time
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 188: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 22 items
    • +4Has examples (5 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

    External checks

    ClawHub: clean
    The skill appears to perform expected threat-intelligence lookups, but users should know that queried actors, IOCs, or targets may be sent to external OSINT providers.
    LLM: benign (medium) · VirusTotal: · 28 May 2026