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 htlin222/meta-pipe --skill ma-fulltext-managementgit clone --depth 1 https://github.com/htlin222/meta-pipeWrote 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/htlin222/meta-pipe/ma-fulltext-management)<a href="https://agentmods.dev/skills/htlin222/meta-pipe/ma-fulltext-management"><img src="https://agentmods.dev/badge/skills/htlin222/meta-pipe/ma-fulltext-management/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/htlin222/meta-pipe/ma-fulltext-management"><img src="https://agentmods.dev/badge/skills/htlin222/meta-pipe/ma-fulltext-management.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 | $0.00033 | $0.01701 |
| Opus 5.5 | $0.00013 | $0.00680 |
| Sonnet 5.5 | $0.00007 | $0.00340 |
| Haiku 4.5 | $0.00003 | $0.00170 |
Grade A, and why
ma-fulltext-management 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 2mo 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- README.md 9.5 KB
- references/changelog-unpaywall.md 5.6 KB
- references/fulltext-quickstart-template.md 13 KB
- references/manifest-template.csv 48 B
- references/unpaywall-comparison.md 12 KB
- references/unpaywall-robust.md 8.3 KB
- scripts/analyze_unpaywall.py 7.6 KB runs code
- scripts/download_oa_pdfs.py 9.5 KB runs code
- scripts/render_pdf_previews.py 5.4 KB runs code
- scripts/unpaywall_fetch_robust.py 11 KB runs code
- scripts/unpaywall_fetch.py 6.1 KB runs code
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.
- 2mo ago First seen · 152 lines · 33 tokens per session scan A bbf43e636a39
ma-fulltext-management is a skill published in the GitHub repository htlin222/meta-pipe (150 stars, last pushed 1mo ago), with no licence file. It adds 33 tokens to every session and 1,701 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
swmm-report
Generate a client-deliverable Word (.docx) report from an audited SWMM run directory. Reads manifest.json, experimentprovenance.json, modeldiagnostics.json, comparison.json, and any PNG figures — SWMM is never re-run. Supports custom YAML/JSON section templates.
quarto-reporting
Reproducible research reporting with Quarto covering parameterized reports, multi-format output, inline computation, and journal article templates.
pydicom
Reads, inspects, writes, transforms, and preflights local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
nature-paper-trans
A workflow for translating selected pages or a complete English research-paper PDF into a simplified-Chinese, image-based PDF. bioRxiv is not mentioned in the provided details; the workflow applies to research-paper PDFs generally.
nature-paper2word
A document conversion workflow that turns an academic Markdown manuscript into a Word .docx file. It supports specified academic formatting, equations, tables, references, cross-references, and export checks.
pptx-posters
Creates and audits editable scientific posters in macro-free PowerPoint (.pptx) from author-approved local content and assets. Used when the requested deliverable is a PowerPoint research/conference poster and exact physical, printer, accessibility, provenance, and package-security checks are required.