Borrowing it
Nothing to install: this file belongs to dazzaji/interlateral_agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dazzaji/interlateral_agents/main/.agent/skills/publication-pipeline/SKILL.mdgit clone --depth 1 https://github.com/dazzaji/interlateral_agentsWrote 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/skills/dazzaji/interlateral_agents/publication-pipeline)<a href="https://agentmods.dev/skills/dazzaji/interlateral_agents/publication-pipeline"><img src="https://agentmods.dev/badge/skills/dazzaji/interlateral_agents/publication-pipeline/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/skills/dazzaji/interlateral_agents/publication-pipeline"><img src="https://agentmods.dev/badge/skills/dazzaji/interlateral_agents/publication-pipeline.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 | $0.00011 | $0.00471 |
| Opus 5.5 | $0.00004 | $0.00188 |
| Sonnet 5.5 | $0.00002 | $0.00094 |
| Haiku 4.5 | $0.00001 | $0.00047 |
Grade A, and why
publication-pipeline 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 1mo 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.
What it actually says
Publication Pipeline
Purpose
Rigorous three-round review process for high-stakes content.
Default roster: use Claude Code and Codex peers. Do not assign Gemini CLI, Antigravity CLI, or Antigravity Desktop unless the human prompt explicitly selects that peer.
Roles
DRAFTER- Creates and revises the documentREVIEWER- Reviews for technical accuracyREDTEAM- Attacks for weaknesses and gapsANALYST- Strategic/political analysis of implicationsEDITOR- Copy-edit against style guidePUBLISHER- Final approval authority
Protocol
ROUND 1: Review + Red Team
- DRAFTER creates initial draft
- REVIEWER checks technical accuracy, suggests improvements
- REDTEAM attacks: What's wrong? What's missing? What could backfire?
- DRAFTER revises based on both feedbacks
ROUND 2: Political/Strategic Analysis
- ANALYST reviews: Who are the audiences? What are the implications?
- DRAFTER addresses strategic concerns
ROUND 3: Copy-Edit
- EDITOR checks style, grammar, tone, formatting
- DRAFTER makes final fixes
- PUBLISHER reviews and signals [APPROVE] or [REJECT]
Termination
PUBLISHER signals [APPROVE] to complete. [REJECT] sends back to DRAFTER.
Optional Inputs
output- Path for final deliverablework- Path to work.md with project contextmax_turns- Override default (50 for heavy skills)
Example Prompt
Use publication-pipeline to publish the quarterly report.
Read work.md first: projects/q4-report/work.md
DRAFTER=CC, REVIEWER=CX, REDTEAM=CC-peer-02, ANALYST=CX, EDITOR=CC-peer-02, PUBLISHER=CC.
Output: projects/q4-report/final.md
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.
- 1mo ago First seen · 59 lines · 11 tokens per session scan A 79150dd7ba4b
publication-pipeline is a skill published in the GitHub repository dazzaji/interlateral_agents (11 stars, last pushed 10d ago), licensed Apache-2.0. It adds 11 tokens to every session and 471 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-10-03.
publication-pipeline compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| publication-pipelinedazzaji/interlateral_agents | Skill | 11 | 10d ago | Apache-2.0 | A | 11 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |