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BC basecamp-cli

CLI and MCP server for Basecamp 4. Use when you need to interact with Basecamp projects, todos, messages, schedules, kanban cards, documents, or campfires. Provides 76 MCP tools for AI-driven project management workflows.

modbender/skill-library-mcp Agent Skills author: modbender MIT 60 files · 1 script body ≈ 1 158 tokens Open the sourcegithub.com↗ analyzed 2 d ago

CLI and MCP server for Basecamp 4.

As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

IntegrationAI and agentsPersonal productivitytype 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
86/100
safety, quality, tests
Safety 60%
95
Quality 40%
73
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

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
    • low Secrets in code secret-high-entropy-token package-lock.json:76
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…SzS+cfgl…B0A==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:100
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…nS4+204nGb1RiX/WXYH…II9/e2DW…VvQ==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:110
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha512-GZMB+a0mO…4cw+w1WV…UED+1X8a…sJi+8mgpw==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:280
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…HK5+NE/tvnRLbIqUWa+0E9N4WNMjmp/kXXP…R8w==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:501
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…78O/B3Kkh+nKABUF++bvJv…56W+C8F9…X6m+IktJnIb1Jjg==",
      detector

    Files scanned: 60. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "mcp"

    Process rating: all ten parameters 59/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (basecamp-cli) differs from the folder (basecamp-cli-mcp)
    • 50Failures and branches. 0 branches, has a failure section
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 12 steps
    • 100Execution cost. Instruction body is 1158 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
    • -5TODO / placeholder text left in the skill
    • -2localhost URLs: will not work for another user
    • -32 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 221: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 12 items
    • +4Has examples (5 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.