SKILLEMALL.ai

CC hunt-xss

Hunting skill for xss vulnerabilities.

sickn33/agentic-awesome-skills Agent Skills author: sickn33 MIT 2 files body ≈ 5 384 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Hunting skill for xss vulnerabilities.

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, running it twice

ProcedureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
C
81/100
safety, quality, tests
Safety 60%
92
Quality 40%
65
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
When it triggers w 12
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: agentic-awesome-skills, agentic-awesome-skills

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Risky intent intent-offensive-security references/details.md:54
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - **Impact:** Privilege escalation from low-priv user to admin via stored XSS — attacker promotes themselves on the privileged user's behalf.
  • low Risky intent intent-offensive-security references/details.md:55
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
    - **Real shape:** GitLab/Jira/Confluence markdown-XSS-to-admin-priv-esc class; common payout pattern is High (privilege escalation severity bump over standalone stored XSS).
    detector
  • low Risky intent intent-offensive-security references/details.md:59
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    When you confirm XSS at A, immediately ask: what state-changing endpoint or token store does this JS now have access to? *Where does the payload run, and who sees it?* No payout multiplier is establis
  • low Risky intent intent-offensive-security SKILL.md:49
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - **Payment/financial flows** (`paypal.com`, checkout pages, currency converters) — XSS here enables credential harvesting and financial fraud at scale
  • low Risky intent intent-offensive-security SKILL.md:137
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    2. **Classify by type** — Determine if each reflection is Reflected (URL param → response), Stored (database → later rendering), or DOM-based (JS reads URL/storage → DOM sink). Each requires different
  • low Dangerous commands cmd-eval-dynamic SKILL.md:308
    Dynamic code execution from decoded/untrusted input (documentation of a security skill)
    <svg onload=eval(atob('YWxlcnQoMSk='))> <!-- security-allowlist: documented payload technique reference, do not execute outside authorized scope -->
    security skill
  • low Risky intent intent-offensive-security SKILL.md:355
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
    An attacker discovered that a major payment platform's sign-in page reflected user-controlled input and was cached by the CDN layer. By sending a crafted request that poisoned the cache, the attacker 
    quoted

A further 1 matches are quotations in this security skill's documentation and are not counted as findings.

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-short description under 40 chars: too little signal for triggering
  • warning body-long SKILL.md body ≈ 5384 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "risk"
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "source_repo"
  • note frontmatter-key unknown frontmatter key "source_type"
  • note frontmatter-key unknown frontmatter key "date_added"
  • note frontmatter-key unknown frontmatter key "license_source"
  • note frontmatter-key unknown frontmatter key "sources"
  • note frontmatter-key unknown frontmatter key "report_count"
  • note edit-residue the text marks something as outdated (lines 278, 316): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 55/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Failures and branches. 2 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5384 tokens
  • 100Steps. 67 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 14 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (19 tags): a typed call is more reliable

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 38: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 67 items
  • +4Has examples (21 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.