SKILLEMALL.ai

BC cms-project-governance

Keep a drifting or half-finished project under control with one compact, conflict-checked delivery state, right-sized scope, bounded autonomy, and independent QA acceptance. Use for non-technical requirement guidance, Legacy Bootstrap, Small/Medium/Large sizing, Lite/Standard/Full governance, Controller-Developer-QC routing, Milestones, Work Orders, QA acceptance, drift recovery, target rebaseline, roadmap review, or reducing token and document overhead. Typical triggers include 项目做了一半 / 不知道该不该继续 / 范围蔓延 / 想加新方向 / 想重开一个项目, scope creep, we keep adding features, too many documents and no working code, docs outweigh code, governance overhead is too high, 治理内卷, which project should I kill, should I archive this, redefine done, change the target, rebaseline, is this really accepted, and we accepted it but never shipped. Also use for anti-involution doc budgets, archive discipline, stop-loss rules, Active Packet bootstrap, and accepted-but-never-released risk. For already-authorized ordinary coding loops, use agent-loop-engineering. For a one-time read-only verdict on a project you have not committed to yet, use project-lifecycle-navigator.

ClawHub Agent Skills author: EnglandTong v2.2.1 MIT-0 31 files body ≈ 3 630 tokens Open the sourceclawhub.ai analyzed 36 h ago

Keep a drifting or half-finished project under control with one compact, conflict-checked delivery state, right-sized scope, bounded autonomy, and independent…

As a process C 61/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency

AnalyzerSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
C
61/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Consistency w 8
40
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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: 31. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1151 chars, limit 1024

Process rating: all ten parameters 61/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 40Consistency. Frontmatter name (cms-project-governance) differs from the folder (coding-management-system)
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 100Steps. 58 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100Execution cost. Instruction body is 3630 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low 15 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)
  • +3Description length 1151: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 58 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This skill is a disclosed project-governance helper that manages scoped project records, with no evidence of hidden credential use, exfiltration, destructive automation, or system persistence.
LLM: benign (high) · VirusTotal: · 7 Sept 2026