Dingo Verify
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
LLM APIの使用量のコスト最適化パターン — タスクの複雑さによるモデルルーティング、予算追跡、リトライロジック、プロンプトキャッシング。
$ npx skills add affaan-m/ECC --skill cost-aware-llm-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install affaan-m/ECC cost-aware-llm-pipeline --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/ja-JP/skills/cost-aware-llm-pipeline .claude/skills/cost-aware-llm-pipeline && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "cost-aware-llm-pipeline" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/cost-aware-llm-pipeline into .claude/skills/cost-aware-llm-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-aware-llm-pipeline", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/cost-aware-llm-pipelineType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add affaan-m/ECC --skill cost-aware-llm-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install affaan-m/ECC cost-aware-llm-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/docs/ja-JP/skills/cost-aware-llm-pipeline .agents/skills/cost-aware-llm-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cost-aware-llm-pipeline" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/cost-aware-llm-pipeline into .agents/skills/cost-aware-llm-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-aware-llm-pipeline", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add affaan-m/ECC --skill cost-aware-llm-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install affaan-m/ECC cost-aware-llm-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/docs/ja-JP/skills/cost-aware-llm-pipeline .cursor/skills/cost-aware-llm-pipeline && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cost-aware-llm-pipeline" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/cost-aware-llm-pipeline into .cursor/skills/cost-aware-llm-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-aware-llm-pipeline", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/affaan-m/ECC.git --path docs/ja-JP/skills/cost-aware-llm-pipeline--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add affaan-m/ECC --skill cost-aware-llm-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install affaan-m/ECC cost-aware-llm-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/docs/ja-JP/skills/cost-aware-llm-pipeline .gemini/skills/cost-aware-llm-pipeline && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cost-aware-llm-pipeline" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/cost-aware-llm-pipeline into .gemini/skills/cost-aware-llm-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-aware-llm-pipeline", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install affaan-m/ECC cost-aware-llm-pipelineInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add affaan-m/ECC --skill cost-aware-llm-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/docs/ja-JP/skills/cost-aware-llm-pipeline .github/skills/cost-aware-llm-pipeline && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cost-aware-llm-pipeline" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/cost-aware-llm-pipeline into .github/skills/cost-aware-llm-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-aware-llm-pipeline", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add affaan-m/ECC --skill cost-aware-llm-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install affaan-m/ECC cost-aware-llm-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/docs/ja-JP/skills/cost-aware-llm-pipeline .opencode/skills/cost-aware-llm-pipeline && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cost-aware-llm-pipeline" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/ja-JP/skills/cost-aware-llm-pipeline into .opencode/skills/cost-aware-llm-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cost-aware-llm-pipeline", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
cost-aware-llm-pipelineLLM APIの使用量のコスト最適化パターン — タスクの複雑さによるモデルルーティング、予算追跡、リトライロジック、プロンプトキャッシング。
Cost Aware LLM Pipeline is an agent skill from affaan-m/ECC. LLM APIの使用量のコスト最適化パターン — タスクの複雑さによるモデルルーティング、予算追跡、リトライロジック、プロンプトキャッシング。
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering LLM API integration. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 4eb71d9. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cost Aware LLM Pipeline loads about 1.2k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 91 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from affaan-m/ECC at commit 4eb71d9, republished under its MIT licence (© affaan-m). 91 words, ~1,170 tokens.
.claude/skills/cost-aware-llm-pipeline/SKILL.md (or your agent's skills folder).品質を維持しながらLLM APIのコストをコントロールするためのパターン。モデルルーティング、予算追跡、リトライロジック、プロンプトキャッシングを組み合わせた合成可能なパイプライン。
シンプルなタスクには自動的に安価なモデルを選択し、複雑なタスクのために高価なモデルを予約します。
MODEL_SONNET = "claude-sonnet-5"
MODEL_HAIKU = "claude-haiku-4-5-20251001"
_SONNET_TEXT_THRESHOLD = 10_000 # 文字数
_SONNET_ITEM_THRESHOLD = 30 # アイテム数
def select_model(
text_length: int,
item_count: int,
force_model: str | None = None,
) -> str:
"""タスクの複雑さに基づいてモデルを選択。"""
if force_model is not None:
return force_model
if text_length >= _SONNET_TEXT_THRESHOLD or item_count >= _SONNET_ITEM_THRESHOLD:
return MODEL_SONNET # 複雑なタスク
return MODEL_HAIKU # シンプルなタスク(3〜4倍安価)凍結データクラスで累積支出を追跡します。各API呼び出しは新しいトラッカーを返します — 状態を変更しません。
from dataclasses import dataclass
@dataclass(frozen=True, slots=True)
class CostRecord:
model: str
input_tokens: int
output_tokens: int
cost_usd: float
@dataclass(frozen=True, slots=True)
class CostTracker:
budget_limit: float = 1.00
records: tuple[CostRecord, ...] = ()
def add(self, record: CostRecord) -> "CostTracker":
"""追加されたレコードで新しいトラッカーを返す(selfは変更しない)。"""
return CostTracker(
budget_limit=self.budget_limit,
records=(*self.records, record),
)
@property
def total_cost(self) -> float:
return sum(r.cost_usd for r in self.records)
@property
def over_budget(self) -> bool:
return self.total_cost > self.budget_limit一時的なエラーのみリトライします。認証やリクエストエラーでは素早く失敗します。
from anthropic import (
APIConnectionError,
InternalServerError,
RateLimitError,
)
_RETRYABLE_ERRORS = (APIConnectionError, RateLimitError, InternalServerError)
_MAX_RETRIES = 3
def call_with_retry(func, *, max_retries: int = _MAX_RETRIES):
"""一時的なエラーのみリトライし、それ以外はすぐに失敗する。"""
for attempt in range(max_retries):
try:
return func()
except _RETRYABLE_ERRORS:
if attempt == max_retries - 1:
raise
time.sleep(2 ** attempt) # 指数バックオフ
# AuthenticationError、BadRequestErrorなど → 即座に例外発生長いシステムプロンプトをキャッシュして、リクエストごとに再送信しないようにします。
messages = [
{
"role": "user",
"content": [
{
"type": "text",
"text": system_prompt,
"cache_control": {"type": "ephemeral"}, # これをキャッシュ
},
{
"type": "text",
"text": user_input, # 可変部分
},
],
}
]4つのテクニックすべてを単一のパイプライン関数に組み合わせます:
def process(text: str, config: Config, tracker: CostTracker) -> tuple[Result, CostTracker]:
# 1. モデルをルーティング
model = select_model(len(text), estimated_items, config.force_model)
# 2. 予算を確認
if tracker.over_budget:
raise BudgetExceededError(tracker.total_cost, tracker.budget_limit)
# 3. リトライ + キャッシングで呼び出し
response = call_with_retry(lambda: client.messages.create(
model=model,
messages=build_cached_messages(system_prompt, text),
))
# 4. コストを追跡(不変)
record = CostRecord(model=model, input_tokens=..., output_tokens=..., cost_usd=...)
tracker = tracker.add(record)
return parse_result(response), tracker| モデル | 入力($/1Mトークン) | 出力($/1Mトークン) | 相対コスト |
|---|---|---|---|
| Haiku 3.5 (legacy) | $0.80 | $4.00 | 0.8x |
| Haiku 4.5 | $1.00 | $5.00 | 1x |
| Sonnet 5 | $2.00 | $10.00 | 2x |
| Sonnet 4.6 | $3.00 | $15.00 | 3x |
| Opus 4.8 | $5.00 | $25.00 | 5x |
| Fable 5 / Mythos 5 | $10.00 | $50.00 | 10x |
| Opus 4.0 / 4.1 (legacy) | $15.00 | $75.00 | 15x |
© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in docs/ja-JP/skills/cost-aware-llm-pipeline of affaan-m/ECC.
Open the folder on GitHubat commit 4eb71d9
Cost Aware LLM Pipeline next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cost Aware LLM Pipeline this skillaffaan-m/ECC | 276k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~833 | Automated safety check: Pass | Apache-2.0 | |
| Agnes Free Textkangarooking/agnes-free-model-skills | 199 | — | ~630 | Automated safety check: Pass | MIT | |
| Openai Docstheowenyoung/home | 115 | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| AIbutterbase-ai/butterbase-skills | 534 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Openagents APIOpenAgentsInc/openagents | 455 | — | ~430 | Automated safety check: Pass | Apache-2.0 |
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
kangarooking/agnes-free-model-skills
Call the free Agnes text model API for chat completions, streaming answers, coding help, tool-calling experiments, and OpenAI-compatible text generation.
theowenyoung/home
A skill your agent uses for Codex models/pricing, scheduled tasks, skills, settings, setup, troubleshooting, customization, automations, and self-knowledge—including 'you,' 'your,' 'this app,' or…
butterbase-ai/butterbase-skills
A skill your agent uses when calling the app's AI gateway from agent tools — chat completions, embeddings, listing models, configuring defaults or BYOK, reading token/cost usage
OpenAgentsInc/openagents
Call the OpenAgents API (Open Responses and Chat Completions, many models, one key) and read its docs.
iusztinpaul/designing-real-world-ai-agents-workshop
Building chat interfaces in Streamlit. An agent skill from iusztinpaul/designing-real-world-ai-agents-workshop.
affaan-m/ECC
Audits your installed Claude skills and commands for quality, with a quick mode for recently changed skills and a full mode that evaluates all of them through subagents.
affaan-m/ECC
Ingests, indexes, searches, edits and monitors video, audio and live streams through the VideoDB Python SDK, returning stream links, clips and timestamps.
affaan-m/ECC
Route broad documentation-governance requests to existing ECC skills and run an opt-in, read-only audit of mapped documentation roles, links, ADR indexes, and evidence references.
affaan-m/ECC
Scans installed skills for principles that recur across them and proposes rule-file changes: append, revise, add a section, create a file or leave as covered.
affaan-m/ECC
Builds DRAFT counterparty agreements from one markdown template and a small JSON spec per party, with clauses picked by the party's role.
affaan-m/ECC
Set an ECC-specific frontend design direction for production UI work.
Categories
LLM APIの使用量のコスト最適化パターン — タスクの複雑さによるモデルルーティング、予算追跡、リトライロジック、プロンプトキャッシング。. Cost Aware LLM Pipeline is an agent skill from affaan-m/ECC.
Cost Aware LLM Pipeline fits situations like: tasks that involve LLM API integration.
Run `npx skills add affaan-m/ECC --skill cost-aware-llm-pipeline -a claude-code`. Or copy the skill folder (docs/ja-JP/skills/cost-aware-llm-pipeline in affaan-m/ECC) into .claude/skills/cost-aware-llm-pipeline in your project. Claude Code loads it when a task matches its description.
Run `npx skills add affaan-m/ECC --skill cost-aware-llm-pipeline -a codex`. Or copy the skill folder (docs/ja-JP/skills/cost-aware-llm-pipeline in affaan-m/ECC) into .agents/skills/cost-aware-llm-pipeline in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill cost-aware-llm-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cost-aware-llm-pipeline, .gemini/skills/cost-aware-llm-pipeline, .github/skills/cost-aware-llm-pipeline and .opencode/skills/cost-aware-llm-pipeline in your project.
SKILL.md names no scripts, command-line tools or credentials: Cost Aware LLM Pipeline is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Cost Aware LLM Pipeline is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Cost Aware LLM Pipeline: Dingo Verify (MigoXLab/dingo, 757 stars), Agnes Free Text (kangarooking/agnes-free-model-skills, 199 stars), Openai Docs (theowenyoung/home, 115 stars) and AI (butterbase-ai/butterbase-skills, 534 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,111 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 10, 2026.
Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.