dev

dev is a skill for Claude Code, Codex from xiaotonng/pikiloom. It costs 48 tokens per session (178 once invoked), scanned A, original, MIT.

Instructions for running and checking the local Pikiclaw development service, including its dashboard and logs. A development service is a local version used while building and testing software.

In plain words
What is it for?
Use it when running `npm run dev`, starting the local debug bot, checking the dashboard, or reviewing development logs.
Why use it?
It provides a consistent way to start, restart, keep alive, or inspect the local service without confusing it with the production setup.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when running npm run dev, starting the local debug bot, checking the dashboard, or reviewing development logs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xiaotonng/pikiloom/dev
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 xiaotonng/pikiloom --skill dev
Clone the repo
git clone --depth 1 https://github.com/xiaotonng/pikiloom

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 dev

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/xiaotonng/pikiloom/dev"><img src="https://agentmods.dev/badge/skills/xiaotonng/pikiloom/dev.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 178 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

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 →

  • medium MCP Rug Pull · line 19
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 $0.00048 $0.00178
Opus 5.5 $0.00019 $0.00071
Sonnet 5.5 $0.00010 $0.00036
Haiku 4.5 $0.00005 $0.00018

Measured 1mo ago against content hash 394c7a46908c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dev 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 1mo 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.

.pikiloom/skills/dev/SKILL.md · 22 lines

What it actually says

Start Local Dev Service

Run the following command to start (or restart) the local dev service:

npm run dev

This rebuilds the dashboard and runs tsx src/cli.ts --no-daemon in the foreground.

Notes

  • Stay on the checked-out repo only. Do not switch to or modify the production/self-bootstrap npx pikiclaw@latest path.
  • Dev app log: ~/.pikiclaw/dev/dev.log
  • Dev config: ~/.pikiclaw/dev/setting.json
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. 1mo ago First seen · 22 lines · 48 tokens per session scan A 394c7a46908c

Subscribe to this mod's changes

dev is a skill published in the GitHub repository xiaotonng/pikiloom (295 stars, last pushed 4d ago), licensed MIT. It adds 48 tokens to every session and 178 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

shap

Model interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing…

synthetic-sciences/openscience · 109 tokens

torch-geometric

Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.

synthetic-sciences/openscience · 41 tokens

rowan

Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve…

synthetic-sciences/openscience · 115 tokens

arboreto

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for…

synthetic-sciences/openscience · 66 tokens

context-recovery

Recovers project handoff context from local Codex, Claude Code, Gemini, CodeBuddy, and codexmate-derived sessions. Use when the user asks what happened in prior project/PR/branch/file/error work, needs a handoff brief, wants old decisions or validations recovered, or asks to summarize cross-session project activity…

SakuraByteCore/codexmate · 72 tokens

nodejs

Use when building or operating a plain Node.js / Express 5 backend service: project layout, async correctness, central error middleware, fail-fast config, graceful shutdown on SIGTERM. NOT DI modules/providers/guards (that is nestjs), NOT the type system or tsconfig (that is typescript), NOT REST contract design (that…

ericrisco/rsc-harness · 77 tokens