SKILLEMALL.ai

BC otc-confirmation

One-Time Confirmation code security mechanism for sensitive agent operations. Generates a cryptographically secure single-use code, delivers it via a private channel (email), and requires the user to reply with the code before execution proceeds. The code never appears in stdout, logs, or chat — it flows through a secure state file. Use when the agent needs to confirm dangerous, irreversible, or externally-visible operations.

ClawHub Agent Skills author: Lewis Liu v3.1.0 29 files · 4 scripts body ≈ 1 918 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

GeneratorSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
74
Quality 40%
91
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 14

    ✓ No critical or high findings

    Medium and low: 14
    • medium Exfiltration exfil-read-secret-files ai-devops-agent-security-pack/code_examples/permission_guard.py:304
      Reads credential / secret files (documentation of a security skill)
      ("developer", Operation(type="file_read", path="~/.ssh/id_rsa")),
      security skill
    • low Risky intent intent-offensive-security ai-devops-agent-security-pack/01_agent_security_architecture.md:36
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      **4. Privilege Escalation Through Chaining**
    • low Risky intent intent-offensive-security ai-devops-agent-security-pack/06_risk_detection.md:117
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (quoted — discussed, not commanded)
      "description": "Potential reverse shell"
      quoted
    • low Risky intent intent-offensive-security ai-devops-agent-security-pack/06_risk_detection.md:178
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      # Pattern: Privilege escalation attempt
      detector
    • low Risky intent intent-offensive-security ai-devops-agent-security-pack/06_risk_detection.md:181
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      alerts.append("PRIVESC: Potential privilege escalation sequence")
      detector

    A further 9 matches are quotations in this security skill's documentation and are not counted as findings.

    Files scanned: 29. 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 55/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 18 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 30 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1918 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 429: enough signal without eating the budget
    • +4Structure: 27 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (14 code blocks)
    • +4Reference files are cited in the instructions (2 of 3)
    • +3All 4 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: suspicious
    This appears to be a legitimate confirmation-code skill, but its security guarantees are overstated and the documented workflow can expose approval codes in chat.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026