Coding_Corgi_flow: Skill for Claude Code

.claude/skills/molecules/corgispec-lint/SKILL.md

corgispec-lint is a skill for Claude Code from ricoyudog/Coding_Corgi_flow. It costs 57 tokens per session (849 once invoked), scanned A, original, no licence file.

A read-only health check for CorgiSpec v4 Memory and Wiki content. It checks structure, freshness, source integrity, delivery extraction, links between systems, and preservation of older records.

In plain words
What is it for?
Use it for periodic documentation checks or to prepare a project for archive readiness.
Why use it?
It helps find stale, incomplete, or inconsistent project knowledge before delivery is archived. A report can optionally write health information to the wiki and metadata.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is ricoyudog/Coding_Corgi_flow's own configuration. It tells Claude Code how to work on Coding_Corgi_flow 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 Coding_Corgi_flow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ricoyudog/Coding_Corgi_flow. 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/ricoyudog/Coding_Corgi_flow/master/.claude/skills/molecules/corgispec-lint/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ricoyudog/Coding_Corgi_flow

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 corgispec-lint

README.md
[![agentmods](https://agentmods.dev/badge/skills/ricoyudog/coding_corgi_flow/corgispec-lint.svg)](https://agentmods.dev/skills/ricoyudog/coding_corgi_flow/corgispec-lint)
Your own site
<a href="https://agentmods.dev/skills/ricoyudog/coding_corgi_flow/corgispec-lint"><img src="https://agentmods.dev/badge/skills/ricoyudog/coding_corgi_flow/corgispec-lint.svg" alt="Measured on agentmods" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 849 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 unknown 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 $0.00057 $0.00849
Opus 5 $0.00028 $0.00425
Sonnet 5 $0.00011 $0.00170
Haiku 4.5 $0.00006 $0.00085

Measured 7d ago against content hash f73349f49be5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

corgispec-lint 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 7d 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/molecules/corgispec-lint/SKILL.md · 50 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file 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.

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. 7d ago First seen · 50 lines · 57 tokens per session scan A f73349f49be5

Subscribe to this mod's changes

corgispec-lint is a skill published in the GitHub repository ricoyudog/Coding_Corgi_flow (104 stars, last pushed 18d ago), with no licence file. It adds 57 tokens to every session and 849 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

media-ingest

Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.

garrytan/gbrain · 52 tokens

mem0-oss-to-platform

Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…

mem0ai/mem0 · 273 tokens

Cortex

Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…

danielmiessler/LifeOS · 196 tokens

memory

Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.

opensquilla/opensquilla · 44 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens

establishing-project-context

Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.

GanyuanRan/Aegis · 45 tokens