Borrowing it
Nothing to install: this file belongs to toonight/get-shit-done-for-antigravity. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/toonight/get-shit-done-for-antigravity/main/.agents/skills/context-fetch/SKILL.mdgit clone --depth 1 https://github.com/toonight/get-shit-done-for-antigravityWrote 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.
[](https://agentmods.dev/skills/toonight/get-shit-done-for-antigravity/context-fetch)<a href="https://agentmods.dev/skills/toonight/get-shit-done-for-antigravity/context-fetch"><img src="https://agentmods.dev/badge/skills/toonight/get-shit-done-for-antigravity/context-fetch/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.
<a href="https://agentmods.dev/skills/toonight/get-shit-done-for-antigravity/context-fetch"><img src="https://agentmods.dev/badge/skills/toonight/get-shit-done-for-antigravity/context-fetch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00015 | $0.00997 |
| Opus 5.5 | $0.00006 | $0.00399 |
| Sonnet 5.5 | $0.00003 | $0.00199 |
| Haiku 4.5 | $0.00002 | $0.00100 |
Grade A, and why
context-fetch 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Fetch Skill
Core principle: Search first, read targeted sections, never load full files blindly.
When to Use
Activate this skill before:
- Starting any coding task
- Beginning a refactor
- Investigating a bug
- Understanding unfamiliar code
Process
Step 1: Define the Question
What are you trying to find or understand?
Examples:
- "Where is the login endpoint defined?"
- "How does the caching layer work?"
- "What calls the
processPaymentfunction?"
Step 2: Identify Keywords
Extract searchable terms:
| Question | Keywords |
|---|---|
| Login endpoint | login, auth, POST.*login |
| Caching layer | cache, redis, memoize |
| Payment calls | processPayment, payment |
Step 3: Search Before Reading
PowerShell:
# Simple pattern search
Select-String -Path "src/**/*.ts" -Pattern "login" -Recurse
# With ripgrep (if available)
rg "login" --type ts
Bash:
# With ripgrep (recommended)
rg "login" --type ts
# With grep
grep -r "login" src/ --include="*.ts"
Step 4: Evaluate Results
From search results, identify:
- Primary candidates — Files directly matching your question
- Secondary candidates — Files that reference primary candidates
- Ignore list — Files with keyword but unrelated context
Step 5: Targeted Reading
Only read what's justified:
# Read specific line range (PowerShell)
Get-Content "src/auth/login.ts" | Select-Object -Skip 49 -First 30
# Read specific function (with view_code_item tool)
# view_code_item: src/auth/login.ts -> handleLogin
Inputs
When invoking this skill, provide:
| Input | Description | Example |
|---|---|---|
| Question | What you're trying to find | "Where is user validation?" |
| Scope | Directory or file pattern | src/, *.service.ts |
| Keywords | Terms to search for | validate, user, schema |
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.
- 2mo ago First seen · 185 lines · 15 tokens per session scan A 6a13aadcfe3a
context-fetch is a skill published in the GitHub repository toonight/get-shit-done-for-antigravity (975 stars, last pushed 2mo ago), licensed MIT. It adds 15 tokens to every session and 997 once invoked, about $0.0001 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.
context-fetch compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| context-fetchtoonight/get-shit-done-for-antigravity | Skill | 975 | 2mo ago | MIT | A | 15 | Claude Code, Codex |
| knowledge-ingestopenclaw/openclaw | Skill | 394k | yesterday | MIT | A | 80 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| forgetasgeirtj/system_prompts_leaks | Skill | 71k | 2d ago | CC0-1.0 | A | 74 | Claude Code, Codex |
| Cortexdanielmiessler/LifeOS | Skill | 20k | yesterday | MIT | A | 184 | Claude Code |
| memoryopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |