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AC top-web-vulnerabilities

Provide a comprehensive, structured reference for the 100 most critical web application vulnerabilities organized by category. This skill enables systematic vulnerability identification, impact assessment, and remediation guidance across the full spectrum of web security threats.

sickn33/agentic-awesome-skills Agent Skills author: sickn33 MIT 2 files body ≈ 553 tokens Open the sourcegithub.com↗ analyzed 35 h ago

Provide a comprehensive, structured reference for the 100 most critical web application vulnerabilities organized by category.

As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ReferenceSecuritytype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
96
Quality 40%
84
Run on models
none yet
Process rating
C
61/100
Has gaps
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

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

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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Risky intent intent-offensive-security references/detailed-guide.md:41
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Impact: Full system compromise, data exfiltration, lateral movement
    • low Risky intent intent-offensive-security references/detailed-guide.md:208
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      **Privilege Escalation (41)**
    • low Risky intent intent-offensive-security references/detailed-guide.md:317
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - Impact: Session theft, credential harvesting
    • low Risky intent intent-offensive-security references/detailed-guide.md:427
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      | 93 | Race Conditions | Missing sync | Privilege escalation | Proper locking |

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

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 61/100

    • 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
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 11 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 553 tokens
    • 100Running it twice. No mutating operations

    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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 280: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 11 items
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.