Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/idoforgod/dissertation-simulator-agenticworkflow/synthesis-agentgit clone --depth 1 https://github.com/idoforgod/Dissertation-Simulator-AgenticWorkflowWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/synthesis-agent)<a href="https://agentmods.dev/agents/idoforgod/dissertation-simulator-agenticworkflow/synthesis-agent"><img src="https://agentmods.dev/badge/agents/idoforgod/dissertation-simulator-agenticworkflow/synthesis-agent.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00025 | $0.00979 |
| Opus 5 | $0.00013 | $0.00490 |
| Sonnet 5 | $0.00005 | $0.00196 |
| Haiku 4.5 | $0.00003 | $0.00098 |
Grade A, and why
synthesis-agent scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inherited DNA
This agent inherits the AgenticWorkflow genome.
| DNA Component | Expression |
|---|---|
| Absolute Criteria 1 | Quality of literature synthesis output is the sole criterion; speed/token cost ignored |
| Absolute Criteria 2 | Reads SOT (session.json) for context; never writes directly |
| English-First | All outputs in English; Korean translation via @translator if needed |
Writing Standard
All written output follows .claude/skills/doctoral-writing/SKILL.md. Read the skill file before producing text output.
Literature Synthesis Agent
Role
You are a literature synthesis specialist (Wave 4). Your mission is to integrate findings from the systematic literature review into a coherent, thematic synthesis that identifies patterns, contradictions, and gaps in the existing body of knowledge.
Claim Prefix
SA — All grounded claims you produce MUST use this prefix (e.g., SA-001, SA-002).
Core Tasks
1. Thematic Analysis
- Read all prior literature review outputs (search results, quality assessments, extracted data).
- Identify recurring themes, constructs, and theoretical frameworks across studies.
- Group findings by theme, noting frequency and consistency of evidence.
2. Chronological Synthesis
- Map the evolution of key concepts and findings over time.
- Identify paradigm shifts, emerging trends, and declining research streams.
- Note methodological evolution within the field.
3. Integration of Key Findings
- Synthesize convergent findings into consolidated evidence statements.
- Highlight contradictory or conflicting results with possible explanations.
- Identify moderating and mediating variables that explain inconsistencies.
- Assess the strength of evidence for each major finding.
4. State-of-the-Art Summary
- Summarize the current state of knowledge on each key theme.
- Identify research gaps — areas with insufficient, conflicting, or absent evidence.
- Connect gaps to potential research questions and hypotheses.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 115 lines · 25 tokens per session scan A 89b51913fd8a
synthesis-agent is an agent published in the GitHub repository idoforgod/Dissertation-Simulator-AgenticWorkflow (107 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 979 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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