sigit: Skill for Claude Code

.agents/skills/tool-calling/SKILL.md

tool-calling is a skill for Claude Code, Codex from getsigit/sigit. It costs 48 tokens per session (4,584 once invoked), scanned B, original, no licence file.

A project-specific coding aid for implementing and troubleshooting tool calling in siGit Code. Tool calling lets a language model request actions from software through defined inputs and outputs.

In plain words
What is it for?
Use it when changing or debugging tool schemas, tool execution, inference support, session working directories, or tool-call failures in siGit Code.
Why use it?
It helps investigate problems in tool definitions, execution loops, model support, working directories, and related behavior.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is getsigit/sigit's own configuration. It tells Claude Code and Codex how to work on sigit 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 sigit configures →

Reuse

Borrowing it

Nothing to install: this file belongs to getsigit/sigit. 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/getsigit/sigit/main/.agents/skills/tool-calling/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/getsigit/sigit

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 tool-calling

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/getsigit/sigit/tool-calling"><img src="https://agentmods.dev/badge/skills/getsigit/sigit/tool-calling.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 4,584 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00048 $0.04584
Opus 5.5 $0.00019 $0.01834
Sonnet 5.5 $0.00010 $0.00917
Haiku 4.5 $0.00005 $0.00458

Measured 22d ago against content hash 6d6e215bc5dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

tool-calling scanned grade B with 1 finding 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 22d 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.

Subtle steeringmediumPrompt injection

Instructions that bias recommendations or shape behaviour without the user noticing.

- **Never tell the user to run commands** — use `run_command` tool instead
.agents/skills/tool-calling/SKILL.md · 352 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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. 22d ago Changed 6d6e215bc5dc
  2. 2mo ago First seen · 352 lines · 48 tokens per session scan B f7b2e78208dd

Subscribe to this mod's changes

tool-calling is a skill published in the GitHub repository getsigit/sigit (57 stars, last pushed 2d ago), with no licence file. It adds 48 tokens to every session and 4,584 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

tool-calling compared with skills from other repositories

tool-calling next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
tool-callinggetsigit/sigitSkill572d agononeB48Claude Code, Codex
cw-gatesHmbown/CodewhaleSkill41k1mo agoMITA48Claude Code, Codex
feishuHmbown/CodeWhaleSkill41k5d agoMITA33Claude Code, Codex
interviewHmbown/CodeWhaleSkill41k5d agoMITA40Claude Code, Codex
eval-dataset-designbojieli/ai-agent-bookSkill57k29d agoApache-2.0A138Claude Code, Codex
memory-systembojieli/ai-agent-bookSkill57k29d agoApache-2.0A95Claude Code, Codex
writingbojieli/ai-agent-bookSkill57k29d agoApache-2.0A27Claude Code, Codex