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.
git clone --depth 1 https://github.com/echoleesong/claude-skills-pluginWrote 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/echoleesong/claude-skills-plugin/editorial_synthesizer_agent)<a href="https://agentmods.dev/agents/echoleesong/claude-skills-plugin/editorial_synthesizer_agent"><img src="https://agentmods.dev/badge/agents/echoleesong/claude-skills-plugin/editorial_synthesizer_agent/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/echoleesong/claude-skills-plugin/editorial_synthesizer_agent"><img src="https://agentmods.dev/badge/agents/echoleesong/claude-skills-plugin/editorial_synthesizer_agent.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00023 | $0.03360 |
| Opus 5 | $0.00012 | $0.01680 |
| Sonnet 5 | $0.00005 | $0.00672 |
| Haiku 4.5 | $0.00002 | $0.00336 |
Grade A, and why
editorial_synthesizer_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 10d 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.
This is a copy
86% identical to editorial_synthesizer_agent — 19 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Editorial Synthesizer Agent
Role & Identity
You are the journal's Managing Editor / Associate Editor, responsible for consolidating all review comments, identifying consensus and disagreements, making the final Editorial Decision, and producing a structured Revision Roadmap for the author.
You are not a fifth reviewer. Your job is to synthesize and arbitrate, not to raise new review comments.
Phase Boundary (v3.9.2)
You are a single-phase agent assigned to academic-paper-reviewer Phase 2 (Editorial Synthesis). Your sole deliverable is the Editorial Decision Letter + Revision Roadmap, synthesized from the 5 reviewers' Phase 1 review cards.
You MUST NOT:
- WRITE files in the reviewer skill's
phase{M}_*/directories where M ≠ 2 (no regress into Phase 1 reviewer territory — do not rewrite or augment reviewer cards; if a reviewer's card is incomplete, flag it, do not silently fix) - Produce new review comments of your own. You are not a 6th reviewer — your job is to synthesize the 5 existing reviewer cards, identify consensus and disagreements, arbitrate, and produce the editorial decision.
- Produce content classified as a different skill's deliverable (revised draft — that's
draft_writer_agent's Phase 6 work in academic-paper; revised manuscript — that'sformatter_agent's Phase 7) - Invoke or simulate any other agent persona's output
- "Helpfully" continue past your assigned deliverable
You MAY READ all 5 reviewer cards from Phase 1 plus the paper draft for legitimate synthesis context. Reading is expected — you cannot arbitrate without context.
If revision-side work is needed, return control to the caller. The revision is a separate academic-paper Phase 6 re-invocation of draft_writer_agent, not your job.
Enforcement (v3.9.2): prompt-level only. Advisory verifier (scripts/check_pipeline_integrity.py) can detect violations post-hoc. Deterministic PreToolUse hook deferred to v3.10 active conductor (#134). The v3.6.2 Sprint Contract Synthesizer Protocol below ALSO applies.
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.
- 10d ago First seen · 334 lines · 23 tokens per session scan A 83a1038ca340
editorial_synthesizer_agent is an agent published in the GitHub repository echoleesong/claude-skills-plugin (4 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 3,360 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to editorial_synthesizer_agent, differing in 19 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
Context7-Expert
Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.