Code Design Rationale Investigator
cursor/plugins
Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.
Create a new RuntimeSetting that can be changed at runtime via agent config set/get and the config API
$ npx skills add DataDog/datadog-agent --skill create-runtime-setting -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DataDog/datadog-agent create-runtime-setting --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/datadog-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/create-runtime-setting .claude/skills/create-runtime-setting && 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 "create-runtime-setting" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-runtime-setting into .claude/skills/create-runtime-setting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-runtime-setting", 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/datadog-agent/tree/main/.agents/skills/create-runtime-settingType 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/datadog-agent --skill create-runtime-setting -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DataDog/datadog-agent create-runtime-setting --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/create-runtime-setting .agents/skills/create-runtime-setting && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "create-runtime-setting" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-runtime-setting into .agents/skills/create-runtime-setting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-runtime-setting", 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/datadog-agent --skill create-runtime-setting -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DataDog/datadog-agent create-runtime-setting --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/create-runtime-setting .cursor/skills/create-runtime-setting && 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 "create-runtime-setting" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-runtime-setting into .cursor/skills/create-runtime-setting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-runtime-setting", 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/datadog-agent.git --path .agents/skills/create-runtime-setting--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/datadog-agent --skill create-runtime-setting -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DataDog/datadog-agent create-runtime-setting --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/create-runtime-setting .gemini/skills/create-runtime-setting && 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 "create-runtime-setting" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-runtime-setting into .gemini/skills/create-runtime-setting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-runtime-setting", 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/datadog-agent create-runtime-settingInstalls 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/datadog-agent --skill create-runtime-setting -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/create-runtime-setting .github/skills/create-runtime-setting && 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 "create-runtime-setting" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-runtime-setting into .github/skills/create-runtime-setting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-runtime-setting", 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/datadog-agent --skill create-runtime-setting -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/datadog-agent create-runtime-setting --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DataDog/datadog-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/create-runtime-setting .opencode/skills/create-runtime-setting && 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 "create-runtime-setting" agent skill from https://github.com/DataDog/datadog-agent/tree/main/.agents/skills/create-runtime-setting into .opencode/skills/create-runtime-setting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-runtime-setting", 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.
create-runtime-settingCreate a new RuntimeSetting that can be changed at runtime via agent config set/get and the config API
Create Runtime Setting is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization. Create a new RuntimeSetting that can be changed at runtime via agent config set/get and the config API
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Datadog. The repository describes itself as: Main repository for Datadog Agent. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 20eff25. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteEditGlobGrepAskUserQuestionFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
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.
Create Runtime Setting loads about 1.5k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 690 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Bash, Read, Write, Edit, Glob, Grep, AskUserQuestionAutomated 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/datadog-agent at commit 20eff25, republished under its Apache-2.0 licence (© DataDog). 690 words, ~1,525 tokens.
.claude/skills/create-runtime-setting/SKILL.md (or your agent's skills folder).Create a new RuntimeSetting implementation for the Datadog Agent. RuntimeSettings are settings that can be read and changed at runtime via:
agent config get <setting>, agent config set <setting> <value>, agent config list-runtimeGET /config/{setting}, POST /config/{setting}Use AskUserQuestion to collect the following. If $ARGUMENTS provides the setting name, skip that question.
Setting name (the config key, e.g. log_payloads, dogstatsd_stats): the name used to register and access the setting via the API.
Value type: What type of value does this setting hold?
Description: A human-readable description of what this setting controls (shown in /config/list-runtime).
Hidden: Should this setting be hidden from the public runtime settings list? (default: false)
Scope: Where should this setting live?
pkg/config/settings/) — Used by multiple agent services (agent, trace-agent, process-agent, etc.)cmd/agent/subcommands/run/internal/settings/) — Only used by the core agentConfig key: The datadog.yaml config key this setting maps to (e.g. log_payloads, internal_profiling.enabled). Often the same as the setting name, but can differ.
Which services should register it: Ask which services should have this setting registered:
cmd/agent/subcommands/run/command.go)cmd/cluster-agent/subcommands/start/command.go)cmd/trace-agent/subcommands/run/command.go)cmd/process-agent/subcommands/run/command.go)cmd/security-agent/subcommands/runtime/command.go)cmd/system-probe/subcommands/run/command.go)cmd/dogstatsd/subcommands/start/command.go)Before writing any code, read the appropriate reference files to follow existing patterns exactly.
Read the interface defined in comp/core/settings/component.go to understand the RuntimeSetting methods.
Read an existing implementation matching the chosen value type. Use Glob with pattern pkg/config/settings/runtime_setting_*.go to list available examples, then read one that matches the desired type (boolean, integer, string, etc.).
Read the test file alongside the chosen reference to see the test pattern.
Read a registration site: Look at one of the command.go files listed in Step 1.7 to see how settings are added to the Settings map.
File naming convention: runtime_setting_<feature_name>.go
File location:
pkg/config/settings/runtime_setting_<feature>.gocmd/agent/subcommands/run/internal/settings/runtime_setting_<feature>.goCreate the implementation following the patterns from the reference file read in Step 2. Every RuntimeSetting needs:
ConfigKey string fieldNew<Name>RuntimeSetting() that sets the config keyDescription() — returns the human-readable descriptionHidden() — returns whether hidden from list-runtimeName() — returns the config keyGet(config) — reads the current value using the appropriate typed getterSet(config, v, source) — validates/converts the input value, then calls config.Set()Type conversion in Set(): for Boolean and Integer types, use the GetBool(v) / GetInt(v) helper functions from pkg/config/settings — these handle string-to-type conversion. For agent-specific settings, import the helpers via settings "github.com/DataDog/datadog-agent/pkg/config/settings".
Create a test file alongside the implementation: runtime_setting_<feature>_test.go
Follow the test patterns from the reference test file read in Step 2. The test should verify:
Name(), Description(), Hidden() return expected valuesGet returns the correct value from configSet with a valid value updates the configSet with a string representation works (e.g. "true"/"false" for bools)Set with an invalid value returns an errorFind the settings.Params provider in the appropriate command.go file(s) for each selected service (from Step 1.7). Add the new setting to the Settings map following the existing pattern in that file. The import alias convention and registration format are visible in the existing entries.
Run the new test:
dda inv test --targets=<package_path>Run the linter on changed files:
dda inv linter.goReport the results to the user. If tests or linting fail, fix the issues.
RuntimeSetting interface is defined in comp/core/settings/component.goGetBool and GetInt are in pkg/config/settings/runtime_setting.goSet methods receive a model.Source parameter for config source tracking — always pass it through to config.Set()/config/{setting_name} (GET to read, POST to write) and via the CLI: agent config get <setting>, agent config set <setting> <value>, agent config list-runtime/create-runtime-setting — Interactive: prompts for all details/create-runtime-setting my_new_setting — Pre-fills the setting name, prompts for the rest© DataDog, Apache-2.0. 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 .agents/skills/create-runtime-setting of DataDog/datadog-agent.
Open the folder on GitHubat commit 20eff25
Create Runtime Setting 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 |
|---|---|---|---|---|---|---|
| Create Runtime Setting this skillDataDog/datadog-agent | 3.8k | — | ~1.5k | Automated safety check: Notes | Apache-2.0 | |
| Code Design Rationale Investigatorcursor/plugins | 10k | 9 repos | ~2.6k | Automated safety check: Pass | None | |
| Apm IntegrationsDataDog/dd-trace-js | 836 | — | ~3k | Automated safety check: Pass | Custom licence | |
| Bump LibdatadogDataDog/dd-trace-dotnet | 573 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Dd IdpDataDog/pup | 1k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Datadog Data Source GeneratorDataDog/terraform-provider-datadog | 468 | — | ~2.7k | Automated safety check: Pass | MPL-2.0 |
cursor/plugins
Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.
DataDog/dd-trace-js
A skill your agent uses when adding, debugging, fixing, or modifying instrumentation and plugins for third-party libraries in dd-trace-js.
DataDog/dd-trace-dotnet
Update/bump the libdatadog native library version in dd-trace-dotnet.
DataDog/pup
Find, filter, count, and connect software, teams, engineering work and delivery, infrastructure, and operational or security records through Pup's read-only Datadog entity graph.
DataDog/terraform-provider-datadog
Generates a Datadog Terraform provider data source from an OpenAPI operation with tfgen and opens a review-ready GitHub PR with a risk scan and testing guide.
DataDog/datadog-go
Cut a new datadog-go release and update CHANGELOG.md following the repo's house style.
DataDog/datadog-agent
Classify a failed CI as either caused by an active incident, flakiness, or a true code regression.
DataDog/datadog-agent
Run a structured discovery session to build an Allium specification through conversation.
DataDog/datadog-agent
Monitor the current PR's GitLab pipeline to completion, then report success, auto-fix, or investigate a failure.
DataDog/datadog-agent
A skill your agent uses when an engineer or manager asks to recap, summarize, or post an update on a Jira Epic — a progress update for an in-progress Epic (how far along it is, what's shipped so…
DataDog/datadog-agent
Explains a lading.yaml config file from the regression test suite, using the lading Rust source as ground truth for field meanings and defaults.
DataDog/datadog-agent
Extract an Allium specification from an existing codebase. An agent skill from DataDog/datadog-agent.
Works with
Create a new RuntimeSetting that can be changed at runtime via agent config set/get and the config API. Create Runtime Setting is an agent skill from DataDog/datadog-agent, published by the product's own GitHub organization.
Run `npx skills add DataDog/datadog-agent --skill create-runtime-setting -a claude-code`. Or copy the skill folder (.agents/skills/create-runtime-setting in DataDog/datadog-agent) into .claude/skills/create-runtime-setting in your project. Claude Code loads it when a task matches its description.
Run `npx skills add DataDog/datadog-agent --skill create-runtime-setting -a codex`. Or copy the skill folder (.agents/skills/create-runtime-setting in DataDog/datadog-agent) into .agents/skills/create-runtime-setting 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/datadog-agent --skill create-runtime-setting -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-runtime-setting, .gemini/skills/create-runtime-setting, .github/skills/create-runtime-setting and .opencode/skills/create-runtime-setting in your project.
SKILL.md names no scripts, command-line tools or credentials: Create Runtime Setting is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Glob, Grep, AskUserQuestion.
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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Create Runtime Setting 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.
About 1.5k tokens (SKILL.md is roughly 6.1k 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 Create Runtime Setting: Code Design Rationale Investigator (cursor/plugins, 10k stars), Apm Integrations (DataDog/dd-trace-js, 836 stars), Bump Libdatadog (DataDog/dd-trace-dotnet, 573 stars) and Dd Idp (DataDog/pup, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
DataDog (a GitHub organization, an official publisher) maintains it in DataDog/datadog-agent, which has 3,757 GitHub stars. The repository holds 35 skills in this directory. The repository was last updated on October 8, 2026.
Source: DataDog/datadog-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.