reset

reset is a skill for Claude Code, Codex from skyllwt/AutoSci. It costs 33 tokens per session (1,089 once invoked), scanned A, original, MIT.

A reset command for a research wiki’s development files, with separate scopes for wiki content, raw research files, logs, checkpoints, or everything. It preserves selected scaffold files while clearing the chosen state.

In plain words
What is it for?
Use it to clear wiki pages, collected papers and notes, logs, or saved batch checkpoints by selecting a reset scope.
Why use it?
It provides a controlled way to recover from a failed setup or restart development without manually deciding which generated files to remove.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/skyllwt/autosci/reset
Any agent
npx skills add skyllwt/AutoSci --skill reset
Clone the repo
git clone --depth 1 https://github.com/skyllwt/AutoSci

Made for: Claude Code, Codex.

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 reset

README.md
[![agentmods](https://agentmods.dev/badge/skills/skyllwt/autosci/reset.svg)](https://agentmods.dev/skills/skyllwt/autosci/reset)
Your own site
<a href="https://agentmods.dev/skills/skyllwt/autosci/reset"><img src="https://agentmods.dev/badge/skills/skyllwt/autosci/reset.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,089 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00033 $0.01089
Opus 5 $0.00016 $0.00544
Sonnet 5 $0.00007 $0.00218
Haiku 4.5 $0.00003 $0.00109

Measured 3d ago against content hash 9a73a93f3145, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

reset 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 3d 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/reset/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/reset

Resets the wiki to a clean scaffold by scope. Designed for development iteration and recovery after a failed setup — not a routine operation.

Trigger

Manual: /reset --scope wiki / --scope raw / --scope log / --scope checkpoints / --scope all. Multiple scopes may be combined comma-separated: --scope wiki,log.

Inputs

  • --scope (required): one of
    • wiki — delete every *.md under wiki/<entity>/ and wiki/outputs/, plus wiki/index.md, wiki/log.md, and wiki/graph/ files. Preserves .gitkeep and wiki/CLAUDE.md.
    • raw — delete every entry under raw/papers/, raw/discovered/, raw/tmp/, raw/notes/, raw/web/ (except .gitkeep).
    • log — reset wiki/log.md to the empty header.
    • checkpoints — clear batch state via research_wiki.py checkpoint-clear.
    • all — every scope above.

Outputs

  • Cleared / reset files on disk.
  • Console summary of deleted files and reset files.

Wiki Interaction

Reads

  • All wiki/<entity>/*.md (to enumerate the deletion plan).
  • raw/<sub>/* (to enumerate raw deletions).

Writes

  • Deletes wiki/<entity>/*.md (preserves .gitkeep).
  • Rewrites wiki/index.md, wiki/graph/*, optionally wiki/log.md.
  • Deletes raw/<sub>/* (except .gitkeep).

Workflow

Pre-conditions: working directory contains wiki/, tools/. Set WIKI_ROOT=wiki/.

Step 1: Build the deletion plan (dry-run)

python3 tools/reset_wiki.py --scope <scope>

This prints a JSON plan listing every file that would be deleted or reset, without modifying anything. Display the plan to the user grouped by scope (wiki entity dirs, raw subdirs, log, checkpoints).

Step 2: Confirm with the user

Print the plan summary and ask for explicit confirmation:

About to delete N files and reset M files. Continue? [y/N]

If the user says no, exit. Never proceed without explicit approval/reset is destructive and raw/ deletions are not tracked by git.

Step 3: Execute

Read the full file on GitHub · 113 lines

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. 3d ago First seen · 113 lines · 33 tokens per session scan A 9a73a93f3145

Subscribe to this mod's changes

reset is a skill published in the GitHub repository skyllwt/AutoSci (1,659 stars, last pushed 4d ago), licensed MIT. It adds 33 tokens to every session and 1,089 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 2026-08-30.

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