Borrowing it
Nothing to install: this file belongs to aiqinxuancai/AutoLinker. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aiqinxuancai/AutoLinker/master/.claude/skills/autolinker-usage/SKILL.mdgit clone --depth 1 https://github.com/aiqinxuancai/AutoLinkerWrote 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/aiqinxuancai/autolinker/autolinker-usage)<a href="https://agentmods.dev/skills/aiqinxuancai/autolinker/autolinker-usage"><img src="https://agentmods.dev/badge/skills/aiqinxuancai/autolinker/autolinker-usage/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/aiqinxuancai/autolinker/autolinker-usage"><img src="https://agentmods.dev/badge/skills/aiqinxuancai/autolinker/autolinker-usage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
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 →
- high Tool Misuse · line 154 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high Agent Snooping · line 163 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
- high Agent Snooping · line 167 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
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 | $0.00164 | $0.04600 |
| Opus 5.5 | $0.00066 | $0.01840 |
| Sonnet 5.5 | $0.00033 | $0.00920 |
| Haiku 4.5 | $0.00016 | $0.00460 |
Grade B, and why
autolinker-usage scanned grade B 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 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
(`~/.gemini/settings.json`): Copies of this mod
1 near-identical copy found in the catalogue:
- autolinker-usage — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AutoLinker usage
AutoLinker (AutoLinker.fne) is an 易语言 support library (a DLL loaded by the
E-language IDE at startup). It adds AI-assisted coding directly inside the IDE
and exposes a local MCP Streamable HTTP server so external agents (Claude
Code, Codex, Gemini/Antigravity CLI, Cursor, Windsurf) can read and edit the
open .e project through the IDE.
.e sources are an encrypted single-file format that can't be edited from
outside the IDE. AutoLinker exports a temporary snapshot from the live IDE
project, including unsaved changes, and lets e-packager unpack it into a text
mirror for reads and searches. Writes map mirror paths back to real IDE program
items; they do not directly rewrite the original .e file on disk.
Source of truth in-repo: README.md, CONFIG.md, AGENTS.md.
Install
- For a first install, download the latest Release, put
AutoLinker.fnein the 易语言libdirectory, then enable the support library in the IDE. - 易语言 5.95+ is recommended for the best experience.
- On IDE launch, AutoLinker auto-starts the local MCP server and logs to the
IDE output window and
autolinker.log.
For an existing install, use 工具菜单 → AutoLinker 设置 → 关于 → 组件更新 to
check and update AutoLinker or e-packager. Updating AutoLinker replaces the
loaded AutoLinker.fne after the current IDE exits; follow the page prompts.
Config lives at {易语言安装目录}\AutoLinker\AIConfig.json; logs at
{易语言安装目录}\AutoLinker\Log.
Feature map (what a user can do)
1. AI Agent chat tab ("AutoLinker AI 对话")
A left work-area tab. Tell the AI what you want; it searches, reads, edits,
inserts code in the currently open project automatically. Type $skillname to
force-activate a SKILL for that turn (e.g. $pdf 分析这份文档).
2. Right-click AI menu (in the code editor)
- AI优化函数 — equivalence-preserving optimize of the current function
- AI为当前函数添加注释 — generate comments for the current function
- AI翻译当前函数+变量名 — rename to English
lowerCamelCase - AI翻译选中文本 — translate the selected text
- AI按当前页类型添加代码 — generate new code by current page type + context
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 · 312 lines · 164 tokens per session scan B 0619cfaea27e
autolinker-usage is a skill published in the GitHub repository aiqinxuancai/AutoLinker (425 stars, last pushed 3d ago), licensed MIT. It adds 164 tokens to every session and 4,600 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
autolinker-usage compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| autolinker-usageaiqinxuancai/AutoLinker | Skill | 425 | 3d ago | MIT | B | 164 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |