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
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 skills add pedrohcgs/claude-code-my-workflow --skill respond-to-evalgit clone --depth 1 https://github.com/pedrohcgs/claude-code-my-workflowWrote 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/respond-to-eval)<a href="https://agentmods.dev/skills/pedrohcgs/claude-code-my-workflow/respond-to-eval"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/respond-to-eval/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/respond-to-eval"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/respond-to-eval.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 117 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 118 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 119 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 | $0.00111 | $0.02405 |
| Opus 5 | $0.00056 | $0.01203 |
| Sonnet 5 | $0.00022 | $0.00481 |
| Haiku 4.5 | $0.00011 | $0.00241 |
Grade A, and why
respond-to-eval 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 9d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Respond to Evaluations
Convert a semester's course evaluations into a defensible teaching-improvement plan. Cluster free-text comments into themes, weight each theme by how many independent students raised it, classify what to do about it, and draft specific changes pointed at the syllabus and deck — so next semester's revision is a checklist, not a vibe.
Posture (echoes /respond-to-referees): one angry comment is not a trend, and a comment you disagree with is a signal to investigate, not a license to ignore or to auto-act. A single student's frustration may be the only one willing to say what twenty felt — frequency weights the theme, it does not gate it. Ground truth here is a process: the plan records why a theme was kept or changed, so the reasoning survives to the next round.
When to use
- End of term, when numeric scores + open-text comments land and you want a revision plan, not a mood.
- Assembling a teaching dossier / tenure file where you must show you acted on feedback.
- Mid-stream (early-semester feedback) to course-correct before the term ends.
Not for: writing the syllabus from scratch (compose with /create-lecture and a course outline), or reviewing one deck's pedagogy (use /pedagogy-review).
Inputs
$0— the evaluation file(s): a CSV/TSV export,.txt/.mdof pasted comments, or a.pdf/.docxreport.$1(optional) — the prior improvement plan, so this round is a diff (did last term's changes land?).
| Format | How to read |
|---|---|
.csv, .tsv, .txt, .md |
Read directly; for CSV, note which column is numeric vs free-text. |
.pdf |
TMP=$(mktemp -t evals).txt && pdftotext "$0" "$TMP" (poppler). Read/grep "$TMP". |
.docx |
TMP=$(mktemp -t evals).txt && pandoc "$0" -t plain -o "$TMP". |
If extraction fails or a tool is missing, ask for a plain-text export and stop.
Phases
Phase 0: Load evals + prior plan (Pre-Flight)
Read the eval file(s) and the prior plan (if given). Produce a short Pre-Flight block before clustering:
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.
- 9d ago First seen · 129 lines · 111 tokens per session scan A 1a7c7fde3241
respond-to-eval is a skill published in the GitHub repository pedrohcgs/claude-code-my-workflow (1,569 stars, last pushed 15d ago), licensed MIT. It adds 111 tokens to every session and 2,405 once invoked, about $0.0006 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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