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BC init-manager

Manage tasks in Init Manager — pick up ready tasks, update status, comment, and close out. Use when assigned tasks via webhook or cron, or when interacting with Init Manager projects.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files body ≈ 1 170 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Manage tasks in Init Manager — pick up ready tasks, update status, comment, and close out.

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

IntegrationOperations and projectsSoftware developmenttype 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
79/100
safety, quality, tests
Safety 60%
75
Quality 40%
84
Run on models
none yet
Process rating
C
61/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Running it twice w 4
30
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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • medium Exfiltration net-credential-use SKILL.md:146
      Credential used in a network call (verify the destination is the intended service)
      curl -H "Authorization: Bearer $KEY" $URL/api/projects
    • medium Exfiltration net-credential-use SKILL.md:149
      Credential used in a network call (verify the destination is the intended service)
      curl -H "Authorization: Bearer $KEY" $URL/api/projects/$PID/board
    • medium Exfiltration net-credential-use SKILL.md:152
      Credential used in a network call (verify the destination is the intended service)
      curl -X PATCH -H "Authorization: Bearer $KEY" -H "Content-Type: application/json" \
    • medium Exfiltration net-credential-use SKILL.md:158
      Credential used in a network call (verify the destination is the intended service)
      curl -X PATCH -H "Authorization: Bearer $KEY" -H "Content-Type: application/json" \
    • medium Exfiltration net-credential-use SKILL.md:161
      Credential used in a network call (verify the destination is the intended service)
      curl -X POST -H "Authorization: Bearer $KEY" -H "Content-Type: application/json" \

    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

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 4 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 16 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1170 tokens
    • 100Progress reporting. Reports progress

    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 183: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (8 code blocks)

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