claude-code-my-workflow is a forkable setup for using Claude Code to produce and review academic papers, slides, data analyses, and replication packages. Researchers use its agents, skills, rules, hooks, and quality checks to coordinate these tasks and verify their results. The catalogue entries define the reusable workflow components for Claude Code.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/pedrohcgs/claude-code-my-workflownpx agentmods add skills/pedrohcgs/claude-code-my-workflow/seven-pass-reviewWrote 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/pedrohcgs/claude-code-my-workflow/seven-pass-review)<a href="https://agentmods.dev/skills/pedrohcgs/claude-code-my-workflow/seven-pass-review"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/seven-pass-review/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/pedrohcgs/claude-code-my-workflow/seven-pass-review"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/seven-pass-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 181 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 182 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 183 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00070 | $0.02668 |
| Opus 5 | $0.00035 | $0.01334 |
| Sonnet 5 | $0.00014 | $0.00534 |
| Haiku 4.5 | $0.00007 | $0.00267 |
Grade A, and why
seven-pass-review 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 7d 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 — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seven-Pass Adversarial Review
Runs seven independent reviewers, each focused on a single lens, then synthesizes their findings into one prioritized revision plan — the fan-out → reduce → judge runtime from orchestrator-protocol.md, applied with seven lenses.
Why seven passes? A single-agent review blends lenses and softens each one. Seven forked agents each approach the paper with full context budget for their own lens, then a synthesizer resolves conflicts and de-duplicates.
When to pick this over
/review-paper: This skill costs roughly 7× more tokens than/review-paper(default) and ~2× more than/review-paper --adversarial. Use it when the paper is submission-ready or at R&R stage and you need maximum lens coverage. For early drafts or iterative work,/review-paperis the right tool. For journal-simulation pressure test, use/review-paper --peer <journal>instead.
Inputs
$0— manuscript path (.tex,.qmd,.md, or.pdf). Required.
The Seven Lenses
Each lens runs as a forked subagent (context: fork) so the main conversation stays clean.
| # | Lens | Focus | Agent type |
|---|---|---|---|
| 1 | Abstract audit | Does the abstract state the question, method, result, and contribution? Does it match the paper? | general-purpose |
| 2 | Intro structure | Does the intro follow Cochrane / Varian framework? Literature placement? Contribution clarity? | general-purpose |
| 3 | Methods / identification | Are assumptions stated? Is identification credible? Are alternatives addressed? | domain-reviewer |
| 4 | Results + tables | Do tables read standalone? Is magnitude + significance discussed? Units consistent? | general-purpose |
| 5 | Robustness | Are obvious threats pre-empted? Is the robustness section convincing or theatrical? | general-purpose |
| 6 | Prose quality | Sentence-level clarity, hedging, passive voice, paragraph cohesion | proofreader |
| 7 | Citation audit | Invokes /validate-bib --semantic; checks cite-claim direction for top-10 works |
general-purpose |
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.
- 7d ago First seen · 196 lines · 70 tokens per session scan A b7911c14bae4
seven-pass-review is a skill published in the GitHub repository pedrohcgs/claude-code-my-workflow (1,570 stars, last pushed 17d ago), licensed MIT. It adds 70 tokens to every session and 2,668 once invoked, about $0.0003 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 2026-09-03.
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