SKILLEMALL.ai

AB masterplan-executor

Execute/build/implement a project strictly from an existing masterplan (the output of masterplan-builder, typically at docs/masterplan/masterplan.md in the project directory). Use whenever the user wants to start or continue actually building a project that has a masterplan — e.g. "build this", "implement the masterplan", "start executing phase 1", "lanjutkan pembangunan sesuai masterplan", "kerjakan plan ini", "continue where we left off". Not for creating the plan itself (use masterplan-builder) and not for reviewing a plan without building it (use dev-plan-reviewer). This skill reads the masterplan in full, executes the build roadmap phase by phase to the exact production-ready standard the plan specifies, automatically web-searches to resolve any ambiguity or outdated approach instead of guessing, self-audits every phase's actual code before moving on, and keeps a persistent execution log so work can safely resume across sessions.

ClawHub Agent Skills author: Anjasta Bagus Tarigan v1.0.0 MIT-0 7 files body ≈ 2 431 tokens Open the sourceclawhub.ai analyzed 2 d ago

Execute/build/implement a project strictly from an existing masterplan (the output of masterplan-builder, typically at docs/masterplan/masterplan.md in the…

As a process B 68/100 · Nearly there — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorOperations and projectsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
B
68/100
Nearly there
Inputs and preconditions w 11
0
Failures and branches w 10
0
Result and completion w 14
40
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 · 0

    ✓ No critical or high findings

    Files scanned: 7. 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 68/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 40Result and completion. Does not say what the result is
    • 85Steps. 18 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2431 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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

    • +3Description length 948: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 6 example trigger phrases
    • +4Description says when NOT to use the skill
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 18 items
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This skill is a disclosed high-agency project execution workflow, with no hidden or malicious behavior found.
    LLM: benign (high) · 31 Jul 2026