sdrf-contribute

sdrf-contribute is a skill for Claude Code from bigbio/sdrf-skills. It costs 45 tokens per session (2,787 once invoked), scanned A, original, MIT.

A workflow for submitting a completed SDRF annotation to the community repository for ProteomeXchange datasets. ProteomeXchange is a system that shares public proteomics datasets, identified by accessions such as PXD numbers.

In plain words
What is it for?
Use it to prepare a pull request, verify the dataset accession, check whether the file already exists, and contribute the SDRF.
Why use it?
It helps turn a finished annotation into a properly checked community contribution and distinguishes new files from updates.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the sdrf-skills plugin — 4 skills, 2 hooks, 1 MCP server shipped together

Good fit Use it to prepare a pull request, verify the dataset accession, check whether the file already exists, and contribute the SDRF.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add bigbio/sdrf-skills
Claude Code
/plugin install sdrf-skills

Made for: Claude Code.

Or install sdrf-skills, the plugin that ships this one along with the rest of its 4 skills, 2 hooks, 1 MCP server.

Wrote 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.

agentmods badge for sdrf-contribute

README.md
[![agentmods](https://agentmods.dev/badge/skills/bigbio/sdrf-skills/sdrf-contribute/github.svg)](https://agentmods.dev/skills/bigbio/sdrf-skills/sdrf-contribute)
Your own site
<a href="https://agentmods.dev/skills/bigbio/sdrf-skills/sdrf-contribute"><img src="https://agentmods.dev/badge/skills/bigbio/sdrf-skills/sdrf-contribute/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.

agentmods 80×15 button for sdrf-contribute

Your own site · 80×15
<a href="https://agentmods.dev/skills/bigbio/sdrf-skills/sdrf-contribute"><img src="https://agentmods.dev/badge/skills/bigbio/sdrf-skills/sdrf-contribute.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,787 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, 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 104
    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.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00045 $0.02787
Opus 5.5 $0.00018 $0.01115
Sonnet 5.5 $0.00009 $0.00557
Haiku 4.5 $0.00005 $0.00279

Measured yesterday against content hash acebf8d6fff2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sdrf-contribute scanned grade A with 1 finding 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 yesterday.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsSL "$url" -o existing.sdrf.tsv
skills/sdrf-contribute/SKILL.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SDRF Contribution Workflow

Bundle paths. spec/, tools/ and data/ ship with this skill, not with your working directory. Resolve every such path below against the bundle root (SDRF_SKILLS_ROOT, else CLAUDE_PLUGIN_ROOT, else your sdrf-skills checkout): ${SDRF_SKILLS_ROOT:-${CLAUDE_PLUGIN_ROOT}}/spec/sdrf-proteomics/TERMS.tsv. The helpers are the sdrf-tools command (install notes: sdrf-annotate/references/setup.md; check with sdrf-tools doctor); no PYTHONPATH or bundle-root variable is needed to run them. Files the user is annotating stay relative to the working directory.

You are helping the user contribute an annotated SDRF file back to the community repository (bigbio/sdrf-annotated-datasets). This is the final step after annotation, validation, and review — closing the loop from "I annotated a dataset" to "the community can reuse it."

Step 1: Check Prerequisites

1.1 Verify the PXD accession

  • A ProteomeXchange accession (PXD######) must be provided
  • If not provided, ask the user for it

1.2 Verify the SDRF content

  • The SDRF must be available as a file on disk or from a previous annotation step
  • If the user just finished /sdrf-skills:sdrf-annotate, the content is in the conversation
  • Ask the user to confirm the file path or provide the content

1.3 Check if this is a new annotation or an update

Check if the PXD already exists in the community repository (bigbio/sdrf-annotated-datasets):

Look for: datasets/{PXD}/{PXD}.sdrf.tsv

You can check via the GitHub API without cloning:

gh api repos/bigbio/sdrf-annotated-datasets/contents/datasets/{PXD} \
  --silent && echo "exists" || echo "new"

Classify at the level of the file you are about to write, not the directory. A PXD folder may legitimately hold several SDRFs with descriptive suffixes (PXD006430-tmt.sdrf.tsv + PXD006430-silac.sdrf.tsv), so an existing folder does not mean you are replacing anything:

gh api repos/bigbio/sdrf-annotated-datasets/contents/datasets/{PXD} \
  --jq '.[] | select(.name | endswith(".sdrf.tsv")) | .name' 2>/dev/null

Read the full file on GitHub · 257 lines

Changes

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.

  1. yesterday Changed acebf8d6fff2
  2. 1mo ago Changed 9b87b0e72cc8
  3. 1mo ago Changed · +6 lines 25b2e0ef9409
  4. 1mo ago Changed · -1 tokens per session 4e31bacb4b7a
  5. 1mo ago First seen · 251 lines · 46 tokens per session scan A 670fc723dc4a

Subscribe to this mod's changes

sdrf-contribute is a skill published in the GitHub repository bigbio/sdrf-skills (19 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 2,787 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

datalad

Retrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink…

K-Dense-AI/scientific-agent-skills · 147 tokens

pr-checklist

Use when opening or finalizing a GitHub PR for OpenMetadata. Walks through the repo PR template — self-review against REVIEW.md, linked issue, high-level design (for big PRs), unit/integration/Playwright tests + coverage, UI screen recording, and manual test steps — then drafts a fully-filled PR body and (optionally)…

open-metadata/OpenMetadata · 79 tokens

config-loading-precedence

How Xberg resolves config: CLI and server/MCP precedence, file walk-up, inline JSON, overrides. Use when adding a setting or one does not take effect.

xberg-io/xberg · 34 tokens

conventional-commit-message

Generate high-quality Conventional Commit messages for repositories using conventional-changelog-conventionalcommits.

conventional-changelog/conventional-changelog · 23 tokens

xberg-release

Xberg release on top of the shared release-workflow: task version:sync to bindings and chart, CI/Publish/Benchmarks readiness. Use before a release.

xberg-io/xberg · 34 tokens

feature-workflow

Taking a multi-PR feature from "shape unknown" to merged without five review rounds per PR: spike until interfaces stop moving, write the contract, cut PRs along contract seams, one review per PR. Use when starting a feature that touches more than one lifecycle object or public interface, when a PR review keeps…

apache/tika · 77 tokens