Official agent skill

Dd Logs

Log management - search, pipelines, archives, and cost control.

OfficialApache-2.0Auto-check passedBusiness, Finance & HR

Install Dd Logs

skills CLI

$ npx skills add DataDog/pup --skill dd-logs -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install DataDog/pup dd-logs --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dd-logs .claude/skills/dd-logs && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "dd-logs" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-logs into .claude/skills/dd-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-logs", 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

$skill-installer install https://github.com/DataDog/pup/tree/main/skills/dd-logs

Type 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.

skills CLI

$ npx skills add DataDog/pup --skill dd-logs -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install DataDog/pup dd-logs --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dd-logs .agents/skills/dd-logs && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "dd-logs" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-logs into .agents/skills/dd-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-logs", 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.

skills CLI

$ npx skills add DataDog/pup --skill dd-logs -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install DataDog/pup dd-logs --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dd-logs .cursor/skills/dd-logs && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "dd-logs" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-logs into .cursor/skills/dd-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-logs", 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

$ gemini skills install https://github.com/DataDog/pup.git --path skills/dd-logs

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add DataDog/pup --skill dd-logs -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install DataDog/pup dd-logs --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dd-logs .gemini/skills/dd-logs && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "dd-logs" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-logs into .gemini/skills/dd-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-logs", 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.

GitHub CLI

$ gh skill install DataDog/pup dd-logs

Installs 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).

skills CLI

$ npx skills add DataDog/pup --skill dd-logs -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dd-logs .github/skills/dd-logs && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "dd-logs" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-logs into .github/skills/dd-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-logs", 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.

skills CLI

$ npx skills add DataDog/pup --skill dd-logs -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install DataDog/pup dd-logs --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/DataDog/pup.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dd-logs .opencode/skills/dd-logs && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "dd-logs" agent skill from https://github.com/DataDog/pup/tree/main/skills/dd-logs into .opencode/skills/dd-logs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dd-logs", 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.

Facts

Skill name: dd-logs
GitHub stars: 1k
Token cost: ~1.3k tokens
SKILL.md length: 313 words
Files: 1
Skills in repo: 12
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Log management - search, pipelines, archives, and cost control.

Tasks that involve Budgeting and forecasting
SKILL.md covers Prerequisites, Quick Start, Search Logs and Pipelines, plus 6 more sections
Calls cargo and jq

What it does

Dd Logs is an agent skill from DataDog/pup, published by the product's own GitHub organization. Log management - search, pipelines, archives, and cost control.

Its SKILL.md is about 1.3k 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 Business, Finance & HR, covering Budgeting and forecasting. It works with Datadog. The repository describes itself as: Give your AI agent a Pup — a CLI companion with 200+ commands across 33+ Datadog products. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Budgeting and forecasting

Example prompts

“/dd-logs”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 6a3c662. It shows what the files ask for, not the result of running them.

Tool permissions
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.
Runs code
Shell commands in SKILL.md call:
- cargo
- jq
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- docs.datadoghq.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Dd Logs loads about 1.3k tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 313 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~18
When it runs · the whole SKILL.md, loaded when a task matches: ~1.3k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from DataDog/pup at commit 6a3c662, republished under its Apache-2.0 licence (© DataDog). 313 words, ~1,299 tokens.

Download SKILL.mdSave it as .claude/skills/dd-logs/SKILL.md (or your agent's skills folder).

name: dd-logs
description: Log management - search, pipelines, archives, and cost control.
metadata.version: 1.0.0
metadata.author: datadog-labs
metadata.repository: https://github.com/datadog-labs/agent-skills
metadata.tags: datadog,logs,logging,search,dd-logs
metadata.globs: **/datadog*.yaml,**/*log*
metadata.alwaysApply: false

Datadog Logs

Search, process, and archive logs with cost awareness.

Prerequisites

Datadog Pup (dd-pup/pup) should already be installed:

bash

cargo install --git https://github.com/DataDog/pup

Quick Start

bash

pup auth login

Search Logs

bash

# Basic search
pup logs search --query="status:error" --from="1h"

# With filters
pup logs search --query="service:api status:error" --from="1h" --limit 100

# JSON output is the default
pup logs search --query="@http.status_code:>=500" --from="1h"

Search Syntax

Query	Meaning
`error`	Full-text search
`status:error`	Tag equals
`@http.status_code:500`	Attribute equals
`@http.status_code:>=400`	Numeric range
`service:api AND env:prod`	Boolean
`@message:timeout`	Wildcard

Trace IDs in Log Results

Logs that show a linked trace in the Datadog UI may not include dd.trace_id / dd.span_id in API results. When a trace ID attribute is remapped for trace correlation (via JSON preprocessing or a Trace Remapper processor), the source attribute is removed and the value is stored as an internal attribute that the Logs Search API does not return. The UI's "trace" link reads that internal attribute, so UI and API results differ.

This is expected Datadog Log Management behavior, not a pup bug or an instrumentation problem. Do not retry queries or change instrumentation to "fix" it. Datadog is tracking making these values queryable (support reference FRLOGSS-4306).

Workarounds until then:

Emit the trace ID under a separate attribute that is not remapped (e.g. @custom.trace_id) and query that.
Pivot the other way: search spans by the log's service/time window via pup traces search, or use the trace link in the Datadog UI.

Pipelines

Process logs before indexing:

bash

# List pipelines
pup obs-pipelines list

# Create pipeline (JSON)
pup obs-pipelines create --file pipeline.json

Common Processors

json

{
  "name": "API Logs",
  "filter": {"query": "service:api"},
  "processors": [
    {
      "type": "grok-parser",
      "name": "Parse nginx",
      "source": "message",
      "grok": {"match_rules": "%{IPORHOST:client_ip} %{DATA:method} %{DATA:path} %{NUMBER:status}"}
    },
    {
      "type": "status-remapper",
      "name": "Set severity",
      "sources": ["level", "severity"]
    },
    {
      "type": "attribute-remapper",
      "name": "Remap user_id",
      "sources": ["user_id"],
      "target": "usr.id"
    }
  ]
}

⚠️ Exclusion Filters (Cost Control)

Index only what matters:

json

{
  "name": "Drop debug logs",
  "filter": {"query": "status:debug"},
  "is_enabled": true
}

High-Volume Exclusions

bash

# Find noisiest log sources
pup logs search --query="*" --from="1h" | jq 'group_by(.service) | map({service: .[0].service, count: length}) | sort_by(-.count)[:10]'

Exclude	Query
Health checks	`@http.url:"/health" OR @http.url:"/ready"`
Debug logs	`status:debug`
Static assets	`@http.url:.css OR @http.url:.js`
Heartbeats	`@message:heartbeat`

Log-Based Metrics

Inspect log-based metrics:

bash

# List existing log-based metrics
pup logs metrics list

⚠️ Cardinality warning: Group by bounded values only.

Sensitive Data

Scrubbing Rules

json

{
  "type": "hash-remapper",
  "name": "Hash emails",
  "sources": ["email", "@user.email"]
}

Never Log

python

# In your app - sanitize before sending
import re

def sanitize_log(message: str) -> str:
    # Remove credit cards
    message = re.sub(r'\b\d{4}[-\s]?\d{4}[-\s]?\d{4}[-\s]?\d{4}\b', '[REDACTED]', message)
    # Remove SSNs
    message = re.sub(r'\b\d{3}-\d{2}-\d{4}\b', '[REDACTED]', message)
    return message

Troubleshooting

Problem	Fix
Logs not appearing	Check agent, pipeline filters
High costs	Add exclusion filters
Search slow	Narrow time range, use indexes
Missing attributes	Check grok parser
`dd.trace_id` missing but UI shows a trace	Expected: remapped trace IDs become internal attributes (see Trace IDs in Log Results)

References/Documentation

Files

Just SKILL.md in skills/dd-logs of DataDog/pup.

Open the folder on GitHubat commit 6a3c662

Compare with similar skills

Dd Logs 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.

Dd Logs compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Dd Logs this skillDataDog/pup	1k	—	~1.3k	Automated safety check: Pass	Apache-2.0	today
Longbridge Researchhelsome/folio	269	3 repos	~2.1k	Automated safety check: Pass	MIT	4 days ago
Bet SizingJoelLewis/finance_skills	205	—	~2.5k	Automated safety check: Pass	MIT	2 mo ago
Cash Flow ForecastWellApp-ai/Well	345	—	~567	Automated safety check: Pass	MIT	7 days ago
Cash Flow Snapshotsandbaseai/sandbase-skills	201	—	~1.9k	Automated safety check: Pass	Apache-2.0	11 days ago
Cre Asset Managementahacker-1/cre-agent-skills	112	—	~1.8k	Automated safety check: Pass	Apache-2.0	1 mo ago

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Questions about Dd Logs

What does Dd Logs do?

Log management - search, pipelines, archives, and cost control. Dd Logs is an agent skill from DataDog/pup, published by the product's own GitHub organization. Log management - search, pipelines, archives, and cost control.

When should I use Dd Logs?

Dd Logs fits situations like: tasks that involve Budgeting and forecasting.

How do I install Dd Logs in Claude Code?

Run `npx skills add DataDog/pup --skill dd-logs -a claude-code`. Or copy the skill folder (skills/dd-logs in DataDog/pup) into .claude/skills/dd-logs in your project. Claude Code loads it when a task matches its description.

How do I install Dd Logs in Codex?

Run `npx skills add DataDog/pup --skill dd-logs -a codex`. Or copy the skill folder (skills/dd-logs in DataDog/pup) into .agents/skills/dd-logs in your project. Codex loads it when a task matches its description.

Can I use Dd Logs in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DataDog/pup --skill dd-logs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dd-logs, .gemini/skills/dd-logs, .github/skills/dd-logs and .opencode/skills/dd-logs in your project.

What does Dd Logs need to run?

Going by SKILL.md and its folder, Dd Logs needs the command-line tools its instructions call (cargo and jq). Our summary lists: Python 3.

Does Dd Logs access the network?

SKILL.md names 1 domain. As links in the text: docs.datadoghq.com. This is read from the text; nothing was executed.

Is Dd Logs safe to install?

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.

What licence does Dd Logs use?

Dd Logs is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dd Logs use?

About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Dd Logs?

Skills that share tags, products or a category with Dd Logs: Longbridge Research (helsome/folio, 269 stars), Bet Sizing (JoelLewis/finance_skills, 205 stars), Cash Flow Forecast (WellApp-ai/Well, 345 stars) and Cash Flow Snapshot (sandbaseai/sandbase-skills, 201 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dd Logs?

DataDog (a GitHub organization, an official publisher) maintains it in DataDog/pup, which has 1,026 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 7, 2026.

Source: DataDog/pup on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Dd Logs

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Datadog Logs

Prerequisites

Quick Start

Search Logs

Search Syntax

Trace IDs in Log Results

Pipelines

Common Processors

⚠️ Exclusion Filters (Cost Control)

High-Volume Exclusions

Archives

Log-Based Metrics

Sensitive Data

Scrubbing Rules

Never Log

Troubleshooting

References/Documentation

Files

Compare with similar skills

Similar skills

More from DataDog/pup

Related

Questions about Dd Logs