SKILLEMALL.ai

AD long-running-harness

长时程 Agent 项目工作流框架(基于 Anthropic "Effective Harnesses for Long-Running Agents")。 用于创建、管理和调度跨多个上下文窗口的长期项目任务。 Use when: 启动新项目、初始化项目工作流、管理项目任务列表、调度子Agent增量开发、 恢复项目状态、生成项目进度报告。触发短语包括: "启动项目"、"初始化项目"、"创建工作流"、"项目进度"、"继续开发"、 "管理任务列表"、"分配任务"、"next feature"、"project status"。

ClawHub Agent Skills author: Aowind v1.0.0 MIT-0 5 files body ≈ 1 031 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
D
45/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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: 5. 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 45/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 60Tools and files. Uses tools (git) that frontmatter does not declare
    • 100Steps. 37 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1031 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -43 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 264: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 37 items
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This instruction-only project workflow skill is coherent and disclosed, but users should run it only in a clearly scoped workspace because it can guide agents to edit files, run setup scripts, commit changes, spawn subagents, and optionally schedule recurring checks.
    LLM: benign (high) · VirusTotal: · 29 May 2026