clotho-research

clotho-research is a skill for Claude Code from mgiovani/cc-arsenal. It costs 114 tokens per session (987 once invoked), scanned A, original, MIT.

A research step that finds which existing code, examples, and risks a proposed change will affect. It reports findings without writing implementation code or a build plan.

In plain words
What is it for?
Investigating a change before planning it, identifying files and interfaces involved, finding reusable code, and recording risks.
Why use it?
It makes later planning more concrete by replacing guesses with evidence from the repository, including relevant files and existing patterns.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the cc-arsenal-dev plugin — 19 skills shipped together , and of cc-arsenal

Good fit Investigating a change before planning it, identifying files and interfaces involved, finding reusable code, and recording risks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mgiovani/cc-arsenal/clotho-research
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 mgiovani/cc-arsenal --skill clotho-research
Clone the repo
git clone --depth 1 https://github.com/mgiovani/cc-arsenal

Made for: Claude Code.

Or install cc-arsenal-dev, the plugin that ships this one along with the rest of its 19 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 clotho-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/mgiovani/cc-arsenal/clotho-research/github.svg)](https://agentmods.dev/skills/mgiovani/cc-arsenal/clotho-research)
Your own site
<a href="https://agentmods.dev/skills/mgiovani/cc-arsenal/clotho-research"><img src="https://agentmods.dev/badge/skills/mgiovani/cc-arsenal/clotho-research/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 clotho-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/mgiovani/cc-arsenal/clotho-research"><img src="https://agentmods.dev/badge/skills/mgiovani/cc-arsenal/clotho-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 987 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 $0.00114 $0.00987
Opus 5 $0.00057 $0.00494
Sonnet 5 $0.00023 $0.00197
Haiku 4.5 $0.00011 $0.00099

Measured 12d ago against content hash df37cdaf5d65, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

clotho-research 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 12d 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/clotho-research/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clotho Research

The step between "we know what we want" and "we know how to build it". Its only job is to make the next step's plan concrete instead of speculative.

What you produce

Three lists, nothing else:

  • touched_files: files that will have to change, and the ones that will not change but constrain the design (a schema, an interface, a caller).
  • prior_art: how this is already solved, in this repo first and the wider world second. In-repo findings are cited path:line from a Read or Grep you actually ran. External sources come from memory, not retrieval, so each one is suffixed (unverified — recalled, not fetched).
  • risks: what will make this harder than it looks.

Do not propose an implementation. Do not write a plan. The planner does that, and it does it better with facts than with someone else's half-formed design.

Method

The repository is the only thing you can actually check. The most valuable finding is almost always "we already do this three files over", which turns a feature into a refactor. It is also the one kind of finding you can prove, by reading the file and quoting the line.

  1. Find the seam. Where does this change enter the system? Grep for the nouns in the spec, then follow the callers. Name the specific functions, not just files.
  2. Find the pattern. Has this repo solved something structurally similar? Copy its shape. Matching an existing convention is worth more than a marginally better design nobody else in the codebase uses.
  3. Find every caller. If the change touches a shared function, list who depends on it. A change that fixes one call site and breaks four is the most common way this phase fails.
  4. Then fall back to memory, and label it. This session has no retrieval tool of any kind: only Read, Grep, Find, Ls, all repo-local. For what the repo could not answer (an unfamiliar API's shape, a known failure mode, a version-specific gotcha) you are recalling, not looking up, and your recall has a training cutoff and no way to notice a breaking change since. Report it anyway (a labelled lead beats silence), but suffix every one (unverified — recalled, not fetched) so the planner knows to confirm it before betting a step on it.
  5. Name the risks concretely. "Might be tricky" is not a risk. "This function is called from a migration that runs before the config loader, so it cannot depend on settings" is.

Read the full file on GitHub · 78 lines

Files

What ships with it

2 files 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. 12d ago First seen · 78 lines · 114 tokens per session scan A df37cdaf5d65

Subscribe to this mod's changes

clotho-research is a skill published in the GitHub repository mgiovani/cc-arsenal (8 stars, last pushed 3d ago), licensed MIT. It adds 114 tokens to every session and 987 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

dataforseo

Agent-callable DataForSEO tools — Google SERP results, keyword and domain analytics, backlinks, Google Maps business data, on-page audits, and AI-search visibility (LLM answers + brand mentions). Use when the user wants SEO or AI-search data, even if they don't name DataForSEO.

zapier/connectors · 65 tokens

gitlab

Agent-callable GitLab tools — manage issues and merge requests, review diffs, commit files, run pipelines, and search. Use when the user mentions GitLab or wants to review or merge an MR, commit code, run CI, or manage issues — even if they don't name GitLab explicitly.

zapier/connectors · 64 tokens

algolia

Agent-callable Algolia tools — index records, search and browse them, manage index settings, synonyms, and query rules, and read AI recommendations.

zapier/connectors · 33 tokens

alpaca

Agent-callable Alpaca trading tools — place and manage stock, crypto, and options orders, read account balances, positions, and portfolio history, look up assets and market hours, and read watchlists. Use when the user mentions Alpaca or wants to trade or inspect a brokerage account, even if they don't name Alpaca…

zapier/connectors · 70 tokens

discord

Agent-callable Discord tools — send and manage messages, start threads and forum posts, manage channels, members, and roles, and post via webhooks. Use when the user mentions Discord or wants to post, read, or manage Discord servers, channels, or members, even if they don't name Discord explicitly.

zapier/connectors · 64 tokens

dropbox

Agent-callable Dropbox tools — upload, organize, find, and share files and folders. Use when the user wants to manage Dropbox content (save, move, search, share, list, or read files), including requests that don't name Dropbox explicitly, e.g. "save this report to my cloud storage" or "share that folder with Sam".

zapier/connectors · 73 tokens