Longbridge Research
helsome/folio
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry rankings, peer group…
Log management - search, archives, metrics, and cost control.
$ npx skills add datadog-labs/agent-skills --skill dd-logs -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install datadog-labs/agent-skills dd-logs --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/datadog-labs/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/dd-logs .claude/skills/dd-logs && 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 "dd-logs" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/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 install https://github.com/datadog-labs/agent-skills/tree/main/dd-logsType 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 datadog-labs/agent-skills --skill dd-logs -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install datadog-labs/agent-skills dd-logs --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/dd-logs .agents/skills/dd-logs && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dd-logs" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/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.
$ npx skills add datadog-labs/agent-skills --skill dd-logs -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install datadog-labs/agent-skills dd-logs --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/dd-logs .cursor/skills/dd-logs && 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 "dd-logs" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/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 https://github.com/datadog-labs/agent-skills.git --path 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.
$ npx skills add datadog-labs/agent-skills --skill dd-logs -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install datadog-labs/agent-skills dd-logs --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/dd-logs .gemini/skills/dd-logs && 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 "dd-logs" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/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.
$ gh skill install datadog-labs/agent-skills dd-logsInstalls 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 datadog-labs/agent-skills --skill dd-logs -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/dd-logs .github/skills/dd-logs && 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 "dd-logs" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/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.
$ npx skills add datadog-labs/agent-skills --skill dd-logs -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install datadog-labs/agent-skills dd-logs --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/datadog-labs/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/dd-logs .opencode/skills/dd-logs && 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 "dd-logs" agent skill from https://github.com/datadog-labs/agent-skills/tree/main/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.
dd-logsLog management - search, archives, metrics, and cost control.
Dd Logs is an agent skill from datadog-labs/agent-skills. Log management - search, archives, metrics, and cost control.
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 Business, Finance & HR, covering Budgeting and forecasting. The repository describes itself as: Public repository for Datadog Agent Skills. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5b40c73. 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.
Shell commands in SKILL.md call:
jqFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.datadoghq.comFrom 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.
Dd Logs loads about 1.2k tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 204 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 datadog-labs/agent-skills at commit 5b40c73, republished under its MIT licence (© datadog-labs). 204 words, ~1,177 tokens.
.claude/skills/dd-logs/SKILL.md (or your agent's skills folder).Search, process, and archive logs with cost awareness.
Datadog Pup should already be installed. See Setup Pup if not.
For scoped commands, use this order:
pup auth login# 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
pup logs search --query="@http.status_code:>=500" --from="1h"| 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 |
Available log configuration commands in pup 0.42.0:
# List log archives
pup logs archives list
# List log restriction queries
pup logs restriction-queries list
# List custom log destinations
pup logs custom-destinations list{
"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"
}
]
}Index only what matters:
{
"name": "Drop debug logs",
"filter": {"query": "status:debug"},
"is_enabled": true
}# 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* |
Store logs cheaply for compliance:
# List archives
pup logs archives list
# Archive config (S3 example)
{
"name": "compliance-archive",
"query": "*",
"destination": {
"type": "s3",
"bucket": "my-logs-archive",
"path": "/datadog"
},
"rehydration_tags": ["team:platform"]
}# No `pup logs rehydrate` command in pup 0.42.0.
# Use Datadog UI/API for rehydration workflows.Create metrics from logs (cheaper than indexing):
# List log-based metrics
pup logs metrics list
# Get one metric by ID
pup logs metrics get api.errors.countCardinality warning: Group by bounded values only.
{
"type": "hash-remapper",
"name": "Hash emails",
"sources": ["email", "@user.email"]
}# 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| 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 |
© datadog-labs, 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 dd-logs of datadog-labs/agent-skills.
Open the folder on GitHubat commit 5b40c73
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in datadog-labs/agent-skills, which our catalogue first saw on October 7, 2026.
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dd Logs this skilldatadog-labs/agent-skills | 177 | 1 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Longbridge Researchhelsome/folio | 269 | 3 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Cre Asset Managementahacker-1/cre-agent-skills | 113 | 1 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Bet SizingJoelLewis/finance_skills | 205 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Dd LogsDataDog/pup | 1k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Cash Flow ForecastWellApp-ai/Well | 345 | — | ~567 | Automated safety check: Pass | MIT |
helsome/folio
Institution ratings, consensus price targets, EPS/revenue forecasts, finance calendar, shareholder data, fund holders, insider trades (SEC Form 4), short interest, industry rankings, peer group…
ahacker-1/cre-agent-skills
CRE Asset Management analysis suite — 9 specialist skills for post-acquisition multifamily operations including annual budgeting, monthly variance analysis, rent collection, renewal decisions…
JoelLewis/finance_skills
Determine how much capital to allocate to individual positions within a portfolio.
DataDog/pup
Log management - search, pipelines, archives, and cost control.
WellApp-ai/Well
Forecast cash flow and runway for a Well workspace from booked invoices and collected bank transactions.
sandbaseai/sandbase-skills
Create a 30/60/90-day cash-flow forecast from AR, AP, opening cash, payment timing, and fixed-cost data.
datadog-labs/agent-skills
Bootstrap a reproducible LLM Observability experiment through the Python ddtrace SDK or the Node dd-trace SDK.
datadog-labs/agent-skills
Ensure the user has an authenticated Datadog account with a valid DDAPIKEY on the right region before any Datadog setup or instrumentation.
datadog-labs/agent-skills
Entry point for Datadog onboarding. An agent skill from datadog-labs/agent-skills.
datadog-labs/agent-skills
APM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis, Data Streams Monitoring (DSM), queue lag, pipeline latency.
datadog-labs/agent-skills
Install the Datadog Agent on Kubernetes using the Datadog Operator — required before enabling Single Step Instrumentation (SSI), which automatically instruments applications for APM without code…
datadog-labs/agent-skills
Set up the Datadog AWS integration with Terraform - creates the cross-account IAM role Datadog assumes (external ID, no stored credentials), attaches the permission policies Datadog publishes, and…
Categories
Log management - search, archives, metrics, and cost control. Dd Logs is an agent skill from datadog-labs/agent-skills. Log management - search, archives, metrics, and cost control.
Dd Logs fits situations like: tasks that involve Budgeting and forecasting.
Run `npx skills add datadog-labs/agent-skills --skill dd-logs -a claude-code`. Or copy the skill folder (dd-logs in datadog-labs/agent-skills) into .claude/skills/dd-logs in your project. Claude Code loads it when a task matches its description.
Run `npx skills add datadog-labs/agent-skills --skill dd-logs -a codex`. Or copy the skill folder (dd-logs in datadog-labs/agent-skills) into .agents/skills/dd-logs 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 datadog-labs/agent-skills --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.
Going by SKILL.md and its folder, Dd Logs needs the command-line tools its instructions call (jq). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: docs.datadoghq.com. 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.
Dd Logs 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 Dd Logs: Longbridge Research (helsome/folio, 269 stars), Cre Asset Management (ahacker-1/cre-agent-skills, 113 stars), Bet Sizing (JoelLewis/finance_skills, 205 stars) and Dd Logs (DataDog/pup, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
datadog-labs (a GitHub organization) maintains it in datadog-labs/agent-skills, which has 177 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on October 7, 2026.
Source: datadog-labs/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.