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2.4K downloads. Trust evidence available

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Academic Paper

12-agent academic paper writing pipeline on Hermes Agent. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-che... Skill: Academic Paper Owner: andyrenxu7255 Summary: 12-agent academic paper writing pipeline on Hermes Agent. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-che... Tags: academic:3.1.3, apa:3.1.3, bilingual:3.1.1, cc-by-nc:3.1.3, citation:3.1.3, hermes:3.1.3, latest:3.1.4, latex:3.1.3, multi-agent:3.1.3, paper-writing:3.1.3, research:3.1.1 Version history: v3.1.4 | 202

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Rank

Safety

Downloads

2.4k

Updated

Oct 9, 2026

Version

3.1.4

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.4K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.4K downloadsadoption · observed Oct 9, 2026
Latest release: 3.1.4release · observed May 17, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s1721fhgyy0yf38f9gfpbjxrn984fcz0:academic-paper

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-andyrenxu7255-academic-paper/snapshot"

Documentation

CLAWHUB

155,456 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: academic-paper
description: "12-agent academic paper writing pipeline on Hermes Agent. 10 modes (full/plan/outline/revision/revision-coach/abstract/lit-review/format-convert/citation-check/disclosure). 6 paper types, 5 citation formats, bilingual abstracts, LaTeX/DOCX/PDF output. Uses delegate_task for each agent. Triggers: write paper, academic paper, guide my paper, parse reviews, AI disclosure, 寫論文, 學術論文, 引導我寫論文, 審查意見."
metadata:
  version: "3.1.1-hermes-1.0"
  last_updated: "2026-05-16"
  status: active
  adapted_from: "imbad0202/academic-research-skills v3.1.1"
  adapted_for: "Hermes Agent (deepseek-v4-pro)"
  task_type: open-ended
  license: "CC BY-NC 4.0"
  original_author: "Cheng-I Wu"
  original_license: "CC BY-NC 4.0"
  original_repo: "https://github.com/Imbad0202/academic-research-skills"
  copyright: "Copyright (c) 2026 Cheng-I Wu"
---
# Academic Paper — 12-Agent Writing Pipeline (Hermes Edition)

📄 **License:** [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) · Copyright (c) 2026 Cheng-I Wu  
🔗 **Original:** [Imbad0202/academic-research-skills](https://github.com/Imbad0202/academic-research-skills) v3.1.1  
🔄 **Adaptation:** Multi-agent pipeline implemented via `delegate_task` instead of Claude Code's internal agent system. All agent definitions, references, templates, and quality standards preserved unchanged from original. **This adaptation is distributed under the same CC BY-NC 4.0 license.**

## Quick Start

```
Write a paper on the impact of AI on higher education quality assurance
```

## Agent Team

| # | Agent | Phase |
|---|-------|-------|
| 1 | intake_agent | Phase 0: Config interview |
| 2 | literature_strategist_agent | Phase 1: Literature search |
| 3 | structure_architect_agent | Phase 2: Structure/outline |
| 4 | argument_builder_agent | Phase 3: Argument construction |
| 5 | draft_writer_agent | Phase 4: Full draft |
| 6 | citation_compliance_agent | Phase 5a: Citation check |
| 7 | abstract_bilingual_agent | Phase 5b: Bilingual abstract |
| 8 | peer_reviewer_agent | Phase 6: Peer review (max 2 loops) |
| 9 | formatter_agent | Phase 7: Output formatting |
| 10 | socratic_mentor_agent | Plan mode guide |
| 11 | visualization_agent | Figures/charts |
| 12 | revision_coach_agent | Reviewer comment parsing |

## Hermes Execution Pattern

All phases use `delegate_task`. Agent files at `agents/` loaded as context.

### Phase 0: Configuration
```
delegate_task(goal="Conduct paper configuration interview: paper type, discipline, journal, citation format, output format, language, word count.", context="Use agents/intake_agent.md")
```

### Phase 1: Literature
```
delegate_task(goal="Design search strategy, screen sources, produce annotated bibliography.", context="Use agents/literature_strategist_agent.md")
```

### Phase 2: Architecture
```
delegate_task(goal="Select paper structure, create detailed outline with word count allocation and evidence mapping.", context="Use agents/structure_architect_

_meta.json

{
  "ownerId": "kn725tchg3gp72a78w22qa07p584f267",
  "slug": "academic-paper",
  "version": "3.1.4",
  "publishedAt": 1779058467396
}

references/abstract_writing_guide.md

# Abstract Writing Guide

Used by `abstract_bilingual_agent`.

## Abstract Types

### Structured Abstract
Contains explicit labeled sections. Required by many journals in social sciences and medicine.

**Sections**: Background, Purpose/Objective, Method, Results/Findings, Conclusion/Implications

### Unstructured Abstract
A single flowing paragraph without labels. Common in humanities and some social sciences.

**Flow**: Context → Problem → Purpose → Method → Key Findings → Implications

### Extended Abstract
Longer (500-1,000 words), used for conference submissions. May include brief literature review and preliminary results.

## English Abstract Guidelines

### Word Count
- Standard: 150-250 words (check journal requirements)
- Conference: 200-500 words (check CFP)
- Dissertation: up to 350 words

### Structure (5-Component Model)

#### Component 1: Background (1-2 sentences)
Establish context and identify the problem.

**Patterns**:
- "[Topic] has become increasingly important because..."
- "Despite growing interest in [topic], little is known about..."
- "Recent developments in [field] have raised questions about..."

**Avoid**:
- Starting with "This paper..." (too abrupt)
- Generic statements ("Education is important")
- Overly long historical context

#### Component 2: Purpose (1 sentence)
State the specific objective or research question.

**Patterns**:
- "This study examines [what] in [context]."
- "The purpose of this research is to [verb] [object]."
- "This paper proposes [framework/model] for [application]."

#### Component 3: Method (1-2 sentences)
Describe the approach, data, and analysis.

**Patterns**:
- "Using [method], this study analyzed [data] from [source]."
- "A [design] approach was employed, involving [participants/data]."
- "Data were collected through [instrument] and analyzed using [technique]."

#### Component 4: Findings (2-3 sentences)
Present the key results — be specific.

**Patterns**:
- "The results indicate that [finding 1]. Additionally, [finding 2]."
- "Three key findings emerged: (a) [finding 1], (b) [finding 2], and (c) [finding 3]."
- "The analysis revealed [main finding], with [specific metric/detail]."

**Include**:
- Specific numbers when available (percentages, effect sizes)
- The most important findings (not all findings)

**Avoid**:
- "Results will be discussed" (the abstract IS the discussion)
- Vague findings ("significant results were found")

#### Component 5: Implications (1-2 sentences)
State the significance, practical implications, or recommendations.

**Patterns**:
- "These findings have implications for [practice/policy/theory]."
- "The results suggest that [stakeholders] should [action]."
- "This research contributes to [field] by [contribution]."

### Example (English, Education)

> Declining enrollment poses existential challenges for private higher education institutions in Taiwan, yet institutional responses remain poorly understood. This study examines the strategic adaptation patterns

references/academic_writing_style.md

# Academic Writing Style Guide

Used by `draft_writer_agent` and `peer_reviewer_agent`.

## Core Principles

### 1. Precision
- Use the most specific term available
- Define technical terms on first use
- Avoid ambiguous pronouns ("this," "it") without clear antecedents

### 2. Conciseness
- Eliminate filler words and redundant phrases
- One idea per sentence (or clearly connected ideas)
- Prefer short sentences for complex ideas

### 3. Objectivity
- Base claims on evidence, not opinion
- Use hedging for uncertain claims
- Acknowledge limitations and alternative interpretations

### 4. Formality
- Use full forms ("do not" over "don't")
- Use formal academic vocabulary; reserve colloquialisms and slang for informal writing
- Use third person unless discipline conventions allow first person

## Register Adjustment by Discipline

### Sciences (Natural, Applied)
```
Register: Formal, impersonal, method-focused
Voice: Passive voice common ("was measured," "were analyzed")
Terminology: Precise measurements, SI units, statistical notation
Example: "The sample was heated to 350°C for 2 hours, yielding a conversion rate of 87.3% (SD = 2.1)."
```

### Social Sciences
```
Register: Formal, theory-informed, participant-aware
Voice: Active voice encouraged, first person for researcher decisions
Terminology: Theoretical constructs, operationalized variables
Example: "We employed semi-structured interviews to explore how participants understood institutional change (N = 24)."
```

### Humanities
```
Register: Formal, argument-driven, interpretive
Voice: First person acceptable for arguments, active voice
Terminology: Close reading vocabulary, theoretical language
Example: "I argue that the text's spatial metaphors reveal an underlying anxiety about institutional permanence."
```

### Engineering / CS
```
Register: Formal, problem-solution oriented, specification-precise
Voice: Passive common for methods, active for contributions
Terminology: Technical specifications, performance metrics
Example: "The proposed algorithm achieves O(n log n) complexity, outperforming the baseline by 34% on the benchmark dataset."
```

### Education
```
Register: Formal, practice-oriented, stakeholder-aware
Voice: Active voice, first person for reflexive practice
Terminology: Pedagogical concepts, assessment language
Example: "The intervention improved student metacognitive awareness, as evidenced by a significant increase in self-regulation scores (t(45) = 3.21, p = .002, d = 0.72)."
```

### Medicine / Health
```
Register: Formal, evidence-hierarchy conscious, clinical precision
Voice: Passive for methods, active for findings
Terminology: Clinical terms, diagnostic criteria, statistical reporting
Example: "Patients receiving the intervention showed a 40% reduction in readmission rates (RR = 0.60, 95% CI [0.45, 0.80], p = .001)."
```

## Hedging and Strength Language

### Hedging (for uncertain or qualified claims)
| Strength | Hedging Devices | Example |
|----------|------------

references/anti_leakage_protocol.md

# Anti-Leakage Protocol (Knowledge Isolation)

**Status**: v3.3
**Used by**: `draft_writer_agent`, `report_compiler_agent`
**Source**: Adapted from PaperOrchestra (Song et al., 2026, Appendix D.4)

---

## Purpose

When the user provides comprehensive research materials (RQ Brief, Synthesis Report, Annotated Bibliography, experimental data), the writing agent should construct the paper **primarily from those materials**, not from LLM parametric memory. This prevents:

1. **Methodology fabrication (Failure Mode 6)**: The LLM writes a plausible Methods section from training data rather than the user's actual procedure
2. **Implicit knowledge leakage**: The LLM fills gaps with memorized content that may be inaccurate, outdated, or from a different context
3. **Unintentional plagiarism**: The LLM reproduces near-verbatim passages from training data

---

## Protocol

### When to activate

Activate when ALL of the following are true:
- The user has provided research materials via the pipeline handoff (RQ Brief + Synthesis Report + Annotated Bibliography)
- The paper is in `full` or `revision` mode (not `plan` or `outline-only`)
- The materials are substantive (not placeholder stubs)

### When NOT to activate

Do NOT activate when:
- The user is in `plan` or `socratic` mode (exploratory — LLM knowledge is expected)
- The materials are minimal (e.g., only a RQ Brief with no bibliography)
- The user explicitly requests the LLM to supplement with its own knowledge

### Prompt insertion

When activated, prepend the following to the draft_writer_agent's working context:

```
## Knowledge Isolation Directive

You are writing this paper based on the research materials provided in this session:
- RQ Brief, Synthesis Report, and Annotated Bibliography (from deep-research)
- Any additional materials the user has provided (experimental logs, datasets, prior drafts)

Priority rules:
1. PREFER session materials over your parametric knowledge for all factual claims
2. Every claim in the paper MUST be traceable to a source in the Annotated Bibliography or user-provided data
3. If the materials do not cover a topic the outline requires, flag it as [MATERIAL GAP] rather than filling from memory
4. Do NOT introduce references not present in the Annotated Bibliography unless explicitly asked by the user
5. The Methods section must describe ONLY what is documented in the user's materials — do not infer or interpolate experimental procedures

This is NOT a prohibition on using language skills or academic writing knowledge.
You may use your knowledge of academic conventions, writing style, logical argumentation,
and discipline norms. The restriction applies only to FACTUAL CONTENT — claims, citations,
data, and methodology descriptions must come from session materials.
```

### [MATERIAL GAP] handling

> **Tag vocabulary.** The `[MATERIAL GAP]`, `[WEAK EVIDENCE]`, `[GAP]` tags used throughout this protocol are canonically defined in [`shared/compliance_checkpoint_protocol.m

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