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.
npx agentmods add skills/technicalpickles/pickled-claude-plugins/finding-api-docsnpx skills add technicalpickles/pickled-claude-plugins --skill finding-api-docsgit clone --depth 1 https://github.com/technicalpickles/pickled-claude-pluginsWhat 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 | $0.00049 | $0.01126 |
| Opus 5 | $0.00024 | $0.00563 |
| Sonnet 5 | $0.00010 | $0.00225 |
| Haiku 4.5 | $0.00005 | $0.00113 |
Grade A, and why
api-documentation-discovery 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 2d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
API Documentation Discovery
Overview
When your training data conflicts with current API versions, STOP guessing and START discovering. This skill guides you to find current, accurate documentation using language-specific tools.
Core principle: Training data ages. Installed versions are truth. Use discovery tools to find what's actually there.
When to Use
Reactive Triggers (MUST use after these):
- ✅ 2+ failed attempts with same library/API
- ✅ Error patterns: "method not found", "wrong number of arguments", "unknown flag", "undefined method"
- ✅ Version mismatch symptoms in stack traces
Proactive Red Flags (STOP and check docs when you notice):
- ⚠️ You're confident about API usage but haven't verified current version
- ⚠️ User is confident but their syntax keeps failing
- ⚠️ You're making "one more tweak" to syntax
- ⚠️ You're using phrases like "should work", "likely correct", "probably just"
- ⚠️ You're pattern-matching from training data without verification
- ⚠️ You're about to claim something is "documented" without checking
When NOT to use:
- First attempt with clear error message pointing to fix
- Errors unrelated to API usage (logic bugs, type errors in your code)
The Discovery Workflow
Step 1: STOP Guessing
Recognize the trigger. Don't make another attempt based on patterns or user confidence.
Step 2: Identify Context
- What library/framework is failing? (check imports, stack traces, go.mod/Gemfile)
- What version is installed? (language tools show this)
- What operation are you trying? (the actual goal, not the syntax attempt)
Step 3: Use Language Discovery Tools
Check language-specific reference for HOW to discover documentation:
references/go.md- Go module explorationreferences/ruby.md- Ruby gem exploration
Follow progressive discovery: docs → examples → source
Step 4: Load Framework Reference (if available)
If framework-specific reference exists, load it for curated patterns:
references/go/cobra.md- Cobra CLI patternsreferences/ruby/rails.md- Rails patternsreferences/ruby/karafka.md- Karafka patterns
What ships with it
3 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.
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.
- 2d ago First seen · 119 lines · 49 tokens per session scan A 668de6106a8d
api-documentation-discovery is a skill published in the GitHub repository technicalpickles/pickled-claude-plugins (10 stars, last pushed 4d ago), licensed MIT. It adds 49 tokens to every session and 1,126 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 2026-08-31.
Other skills, from other repositories
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
verify-security
安全校验关卡。自动扫描代码安全漏洞,检测危险模式,确保安全决策有文档记录。当用户提到安全扫描、漏洞检测、安全审计、代码安全、OWASP、注入检测、敏感信息泄露时使用。在新建模块、安全相关变更、攻防任务、重构完成时自动触发。.
development
开发语言能力索引。Python、Go、Rust、TypeScript、Java、C++、Shell。当用户提到编程、开发、代码、语言时路由到此。.
post-build-flow
Handles workflow verification and setup after build-workflow succeeds, or when the message contains workflow-verification-follow-up or workflow-setup-required. Load after direct builds, when verificationReadiness requires action, or on orchestrator verify/setup follow-up turns.
n8n:create-pr
Creates GitHub pull requests with properly formatted titles that pass the check-pr-title CI validation. Use when creating PRs, submitting changes for review, or when the user says /pr or asks to create a pull request.
n8n:reproduce-bug
Reproduce a bug from a Linear ticket with a failing test. Expects the full ticket context (title, description, comments) to be provided as input.