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 coltonbearden/carrel --skill agent-workflowsgit clone --depth 1 https://github.com/coltonbearden/carrelWrote 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/coltonbearden/carrel/agent-workflows)<a href="https://agentmods.dev/skills/coltonbearden/carrel/agent-workflows"><img src="https://agentmods.dev/badge/skills/coltonbearden/carrel/agent-workflows/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/coltonbearden/carrel/agent-workflows"><img src="https://agentmods.dev/badge/skills/coltonbearden/carrel/agent-workflows.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 | $0.00066 | $0.01414 |
| Opus 5.5 | $0.00026 | $0.00566 |
| Sonnet 5.5 | $0.00013 | $0.00283 |
| Haiku 4.5 | $0.00007 | $0.00141 |
Grade A, and why
agent-workflows 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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent workflows with carrel
Patterns for wiring carrel and Claude Code together into pipelines. Run carrel doctor --json first to see what the environment supports (or install the carrel-guard plugin, whose SessionStart hook reports it), and --help on any carrel command before scripting it.
Pattern: watch + claude -p pipeline
React to new files with a headless Claude turn. Example — summarize every PDF dropped into a folder:
carrel watch ~/inbox --on created --glob '*.pdf' \
--run 'sh -c "carrel convert {path} --to txt -o /tmp/drop.txt --force && claude -p \"Summarize /tmp/drop.txt in 5 bullets\" >> ~/inbox/summaries.md"'
Notes: keep the claude -p prompt self-contained; append results to a log/markdown file; test with --once --timeout 60 before leaving it running; bound each action with --action-timeout.
Pattern: index-then-ask loop
For question-answering over a collection, keep one desk index and reuse it:
carrel --json --root ~/papers index # incremental, cheap to re-run
carrel --json --root ~/papers search 'transformer AND survey'
carrel --root ~/papers pack ~/papers --query 'transformer AND survey' --top 10 -o ctx.md
Feed the hit paths to Claude (or the file-librarian agent in this plugin) rather than packing the whole corpus — search first, read the top hits, cite paths. pack --query is the one-step version. Narrow a search with the desk's own facts: --tag ref:invoice:inv-2026-0042 (written by carrel refs --tag) or --meta 'total>1000' (fields from carrel meta set). carrel catalog status tells you when the index is stale; carrel catalog export backs up tags and notes.
Pattern: desk over MCP
This plugin ships a carrel MCP server (carrel mcp, stdio, pure stdlib) via .mcp.json. When it is connected, prefer its structured tools over shelling out for the same operations. The server works on the desk under the session's working directory (the root argument narrows it to a subdirectory); run carrel index there first for search-backed tools.
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 Changed · +2 lines 97f1d6753adb
- 1mo ago Changed · +4 lines 4e49af553f82
- 1mo ago Changed · +23 lines · +8 tokens per session 5115fd078b20
- 1mo ago First seen · 45 lines · 58 tokens per session scan A e824a5ff5f26
agent-workflows is a skill published in the GitHub repository coltonbearden/carrel (2 stars, last pushed 4d ago), licensed MIT. It adds 66 tokens to every session and 1,414 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
ade
Parse documents and extract schema-shaped data with the ADE (Agentic Document Extraction) v2 APIs through the ade CLI. A local job-item store makes every run idempotent, resumable, and citable — repeat runs are free, interrupted runs resume, and every answer can cite element ids with visual evidence.
document-processing
Use when the deliverable is a document's bytes or its literal content — text/tables out of PDFs, AcroForm fill and flatten, page merge/split, PDF/DOCX from templates, OCR of image-only scans. NOT schema-typed fields pulled from text (that is structured-extraction), NOT signature routing (e-signature) or spreadsheet…
mineru
Use when turning PDFs, scans, or Office documents into structured Markdown/JSON for RAG or translation pipelines with MinerU 4.0 — mineru parse / mineru-kit parse, quality tiers flash/basic/standard/advanced, DoclibClient Python SDK, V1 HTTP API, or Docker on NVIDIA GPUs; also when magic-pdf commands fail because 4.0…
kuake_skill
Enables OpenClaw agents to interact with Quark Cloud Drive using the kuake CLI tool for file operations like listing, uploading, downloading, and sharing.
c-screen
Capture screenshots and extract text via OCR using peekaboo, and capture webcam images using camsnap. Enables visual analysis of screen content and camera input.
update-marketplace-stars
Update GitHub star counts for suggested marketplaces in DEFAULTSUGGESTEDMARKETPLACES. Use this skill when asked to "update stars", "refresh marketplace stars", or "sync star counts".