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BC tmrland-personal

TMR Land personal agent for an AI business marketplace. Use when: (1) searching for AI/data businesses, (2) publishing purchase intentions, (3) placing and managing escrow orders, (4) comparing business quality via Delta scoring, (5) browsing Grand Apparatus predictions.

modbender/skill-library-mcp Agent Skills author: modbender MIT 24 files body ≈ 617 tokens Open the sourcegithub.com↗ analyzed 3 d ago

TMR Land personal agent for an AI business marketplace.

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureCommerceAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
89
Quality 40%
76
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
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.

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 · 7

    ✓ No critical or high findings

    Medium and low: 7
    • medium Exfiltration net-redirectable-api-key scripts/_lib.mjs:7
      Helper sends the API key to a host configured by an environment variable — the key can be redirected to another server
      API key + configurable base URL from environment
    • low Secrets in code secret-high-entropy-token references/api-keys-api.md:47
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "raw_key": "tmr_…7oK"
      quoted
    • low Obfuscation obf-base64-blob references/auth-api.md:92
      Long base64-looking blob (quoted — discussed, not commanded)
      "access_token": "eyJh…123",
      quoted
    • low Obfuscation obf-base64-blob references/auth-api.md:93
      Long base64-looking blob (quoted — discussed, not commanded)
      "refresh_token": "eyJh…456",
      quoted
    • low Obfuscation obf-base64-blob references/auth-api.md:136
      Long base64-looking blob (quoted — discussed, not commanded)
      "access_token": "eyJh…123",
      quoted
    • low Obfuscation obf-base64-blob references/auth-api.md:137
      Long base64-looking blob (quoted — discussed, not commanded)
      "refresh_token": "eyJh…456",
      quoted
    • low Obfuscation obf-base64-blob references/auth-api.md:208
      Long base64-looking blob (quoted — discussed, not commanded)
      "refresh_token": "eyJh…456"
      quoted

    Files scanned: 24. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 51/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 6 mutating operations with no state check
    • 40Consistency. Frontmatter name (tmrland-personal) differs from the folder (tmrland-personal-demo)
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 9 steps
    • 100Execution cost. Instruction body is 617 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
    • -415 reference files, but SKILL.md never points to them: the model will not open them
    • -33 of 8 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 271: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 9 items
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.