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BF ars-pipeline-orchestrator

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates ars-deep-research, ars-academic-paper, and ars-academic-reviewer into a seamless 10-stage workflow with mandatory, coverage-bounded integrity checks, two-stage peer review, and auditable quality-assurance artifacts. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end paper, research-to-publication, complete paper workflow, 연구부터 논문까지, 연구 주제 설정부터 논문 완성까지, 논문 전체 워크플로.

ClawHub Agent Skills author: sedey999 v3.21.1 MIT-0 80 files body ≈ 13 180 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity…

As a process F 69/100 · Will not run — References files that are not bundled: references/shared/intent_clarification_protocol.md, references/state_tracker_agent.md, references/shared/handoff_schemas.md

ProcedureLaTeXInfrastructureResearchAI and agentstype 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
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
58
Run on models
none yet
Process rating
F
69/100
Will not run
References files that are not bundled: references/shared/intent_clarification_protocol.md, references/state_tracker_agent.md, references/shared/handoff_schemas.md
Tools and files w 18
0
Execution cost w 6
40
When it triggers w 12
70
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. The text references files that are not there: add them or drop the references.
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: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 13180 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/shared/intent_clarification_protocol.md
  • warning missing-ref reference to a missing file: references/state_tracker_agent.md
  • warning missing-ref reference to a missing file: references/shared/handoff_schemas.md
  • warning missing-ref reference to a missing file: references/templates/pipeline_status_template.md
  • warning missing-ref reference to a missing file: references/shared/model_tiering.md

Process rating: all ten parameters 69/100

Will not run. References files that are not bundled: references/shared/intent_clarification_protocol.md, references/state_tracker_agent.md, references/shared/handoff_schemas.md
  • 0Tools and files. 5 referenced file(s) missing: references/shared/intent_clarification_protocol.md, references/state_tracker_agent.md, references/shared/handoff_schemas.md
  • 40Execution cost. Instruction body is 13180 tokens: crowds the task out of the window
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 83 steps, 2 vague phrases
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 11 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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
  • low 33 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (5 tags): a typed call is more reliable

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)
  • +2Single-language instructions
  • +3Description length 601: enough signal without eating the budget
  • +4Structure: 51 headings
  • +3Step-by-step instructions: 83 items
  • +3Output format is stated explicitly
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: clean
This appears to be a legitimate academic workflow orchestrator, but it can keep detailed collaboration records and optionally send selected material to external verification providers if enabled.
LLM: benign (high) · VirusTotal: · 22 Aug 2026