graphjin: Skill for Claude Code

.claude/skills/graphjin-env-workflows/SKILL.md

graphjin-env-workflows is a skill for Claude Code from dosco/graphjin. It costs 60 tokens per session (1,139 once invoked), scanned A, original, Apache-2.0.

A guide for running GraphJin's environment and evaluation workflows. These workflows create test suites and worlds, serve graded tasks, collect agent runs, and publish benchmark results.

In plain words
What is it for?
Use it to create evaluations, run baselines, generate training data, serve environments, create worlds, and verify related code or website changes.
Why use it?
It shows which commands and checks belong to each stage and helps ensure changes are tested across the workflows they affect.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is dosco/graphjin's own configuration. It tells Claude Code how to work on graphjin itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything graphjin configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is go build -o /dev/null ./cmd/ && go vet ./cmd/.

About the project

GraphJin is a compiler and runtime that gives AI agents a governed graph-based way to work with databases, files, source code, workflows, and other systems through GraphQL and MCP. It is also used as a GraphQL-to-database service, API gateway, Go library, and real-time subscription server. The catalogue add-ons connect agents to GraphJin or support its agent workflow.

dosco/graphjin · 3,234 stars · on GitHub · graphjin.com

Reuse

Borrowing it

Nothing to install: this file belongs to dosco/graphjin. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dosco/graphjin/master/.claude/skills/graphjin-env-workflows/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/dosco/graphjin

Made for: Claude Code.

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 graphjin-env-workflows

README.md
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Your own site
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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.

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Your own site · 80×15
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Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,139 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00060 $0.01139
Opus 5.5 $0.00024 $0.00456
Sonnet 5.5 $0.00012 $0.00228
Haiku 4.5 $0.00006 $0.00114

Measured 2mo ago against content hash 1aef6e3e21e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

graphjin-env-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 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.

.claude/skills/graphjin-env-workflows/SKILL.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GraphJin environment workflows (in this repo)

For working on GraphJin. Someone using a published environment wants the graphjin-env skill instead, and the public documentation is at https://graphjin.com/environment/.

Which loop are you in

Goal Entry point
Measure: does the agent still work graphjin eval create → eval run / eval baseline
Collect: build a training corpus graphjin eval sample → eval export
Serve: give a training loop an environment graphjin env serve
Mint: get a world that is not the demo graphjin env new-world / env clone

They share one engine. A change to scoring, task semantics or provenance affects all four.

Gates

Run the ones your change touches, not just the fast one.

go build -o /dev/null ./cmd/ && go vet ./cmd/
go test ./cmd/ ./agent/... -count=1          # ~2 minutes
cd website && npm run build && npm run check  # required for any website/** change
make env-image-smoke                          # skips cleanly without docker or ko

npm run check is the gate, not hugo. It validates every internal link and anchor, pins load-bearing copy, and derives several assertions from Go source — so a docs change can fail on a code file and vice versa.

Never hand-edit

  • eval/suite.yml, eval/suite.split.json, eval/authored.yml — use eval add / eval rm, which go through the validated writer. Task ids are content hashes; editing a prompt detaches the task from every stored episode.
  • website/data/benchmarks/<slug>.yaml and website/content/benchmarks/<slug>/runs/ — graphjin eval publish is the only sanctioned writer.
  • Anything under .graphjin-evals/.

Contracts that move fingerprints

Know before you edit, because these invalidate comparisons rather than break builds:

  • agent/skills.go — any string moves PromptRegistryHash(), which is recorded in run provenance. Every baseline comparison across that edit is invalid whether or not behaviour changed.
  • Skill payload budgets are test literals in agent/skills_test.go, and they ratchet both ways. A guide gated behind a gj_* root costs an ordinary caller nothing; universal guidance costs every caller. Bump a budget visibly in the diff rather than routing prose through an uncounted channel.
  • eval.GeneratorVersion — bump when generated task semantics change, and append the previous literal to SupportedGeneratorVersions.
  • RewardVersion — bump on any scoring change. Runs either side are not comparable.
  • suiteIdentityProjection — a new field changes every existing run's identity unless it is omitempty at its zero value.

Read the full file on GitHub · 101 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. 2mo ago First seen · 101 lines · 60 tokens per session scan A 1aef6e3e21e4

Subscribe to this mod's changes

graphjin-env-workflows is a skill published in the GitHub repository dosco/graphjin (3,234 stars, last pushed 5d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,139 once invoked, about $0.0002 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 2026-09-02.

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