readmenator-ask

readmenator-ask is a skill for Claude Code from grisuno/estorides. It costs 77 tokens per session (582 once invoked), scanned A, original, AGPL-3.0.

A question-answering skill for ReadMenator-indexed codebases. ReadMenator is a codebase knowledge system; this skill searches its records to explain where, how, and why parts of a project work.

In plain words
What is it for?
Use it to find what handles a feature, locate subsystems, understand project behaviour, and identify possible risks.
Why use it?
It helps answer architecture questions before opening many source files. It can combine keyword search, links between related code elements, and summaries of groups of files.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to find what handles a feature, locate subsystems, understand project behaviour, and identify possible risks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/grisuno/estorides/readmenator-ask
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add grisuno/estorides --skill readmenator-ask
Clone the repo
git clone --depth 1 https://github.com/grisuno/estorides

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 readmenator-ask

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/grisuno/estorides/readmenator-ask"><img src="https://agentmods.dev/badge/skills/grisuno/estorides/readmenator-ask.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 582 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 $0.00077 $0.00582
Opus 5.5 $0.00031 $0.00233
Sonnet 5.5 $0.00015 $0.00116
Haiku 4.5 $0.00008 $0.00058

Measured 7d ago against content hash 237b06ada9a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

readmenator-ask 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/readmenator-ask/SKILL.md · 45 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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 · 45 lines · 77 tokens per session scan A 237b06ada9a9

Subscribe to this mod's changes

readmenator-ask is a skill published in the GitHub repository grisuno/estorides (107 stars, last pushed today), licensed AGPL-3.0. It adds 77 tokens to every session and 582 once invoked, about $0.0003 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 2026-10-10.

Related

Other skills, from other repositories

mem0-oss-to-platform

Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…

mem0ai/mem0 · 217 tokens

forget

Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…

asgeirtj/system_prompts_leaks · 74 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

shellm

Reference for the shellm system — recursive LLM shell, identity management, memory, skills, trajectory, and all CLI tools. Use when working on shellm itself, debugging agent behavior, or understanding how the pieces fit together.

laude-institute/headlong · 49 tokens