false-edge-audit

false-edge-audit is a skill for Claude Code from InjayTseng/graph-engineering-on-research. It costs 36 tokens per session (248 once invoked), scanned A, original, MIT.

A workflow-audit tool that examines whether steps in a process really need to wait for one another. It looks for unnecessary sequential links between agents or pipeline steps.

In plain words
What is it for?
Use it to inspect an existing multi-step workflow, identify fake dependencies, and question unnecessary “and then” steps.
Why use it?
It can reveal delays caused by treating independent work as a queue. Finding these false dependencies helps show where a workflow may be run more efficiently.

Skill for Claude Code

Written for Claude Code: disable-model-invocation 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 graph-engineering plugin — 7 skills shipped together

Good fit Use it to inspect an existing multi-step workflow, identify fake dependencies, and question unnecessary “and then” steps.

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 InjayTseng/graph-engineering-on-research
Claude Code
/plugin install graph-engineering

Made for: Claude Code.

Or install graph-engineering, the plugin that ships this one along with the rest of its 7 skills.

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 false-edge-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/injaytseng/graph-engineering-on-research/false-edge-audit/github.svg)](https://agentmods.dev/skills/injaytseng/graph-engineering-on-research/false-edge-audit)
Your own site
<a href="https://agentmods.dev/skills/injaytseng/graph-engineering-on-research/false-edge-audit"><img src="https://agentmods.dev/badge/skills/injaytseng/graph-engineering-on-research/false-edge-audit/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 false-edge-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/injaytseng/graph-engineering-on-research/false-edge-audit"><img src="https://agentmods.dev/badge/skills/injaytseng/graph-engineering-on-research/false-edge-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 248 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.
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 $0.00036 $0.00248
Opus 5 $0.00018 $0.00124
Sonnet 5 $0.00007 $0.00050
Haiku 4.5 $0.00004 $0.00025

Measured 8d ago against content hash 50bb50a6b8d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

false-edge-audit 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 8d 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.

skills/false-edge-audit/SKILL.md · 17 lines

What it actually says

Read ${CLAUDE_PLUGIN_ROOT}/prompts/01-false-edge-audit.md. Everything below its "## Copy this block" line is your instruction set — execute it exactly, with one substitution: the "My workflow:" slot at the end is filled by the user's input below.

My workflow: $ARGUMENTS

Harness rules:

  • If the workflow above is empty, ask the user to describe their current workflow step by step — do not invent one.
  • If the workflow above is a file path, read that file and treat its contents as the workflow.
  • If the workflow above is written in Chinese, use ${CLAUDE_PLUGIN_ROOT}/prompts/01-false-edge-audit.zh-TW.md instead (its block starts at "## 複製這段", the slot is "我的工作流:") and work in Traditional Chinese throughout.
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. 8d ago First seen · 17 lines · 36 tokens per session scan A 50bb50a6b8d3

Subscribe to this mod's changes

false-edge-audit is a skill published in the GitHub repository InjayTseng/graph-engineering-on-research (10 stars, last pushed 8d ago), licensed MIT. It adds 36 tokens to every session and 248 once invoked, about $0.0002 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 2026-08-31.