manage-segments

manage-segments is a skill for Claude Code from harness/harness-skills. It costs 155 tokens per session (3,643 once invoked), scanned A, original, Apache-2.0.

A manager for Harness FME segments, which are named groups of users or traffic used by feature flags. It handles segment details, membership, type-specific definitions, and checks which flags refer to a segment before changes.

In plain words
What is it for?
Use it to create, inspect, and update standard, large, or rule-based segments; manage standard membership; and review references before approved changes.
Why use it?
It helps prevent segment edits from unexpectedly changing the behavior of the feature flags that depend on those groups.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the harness-fme plugin — 16 skills shipped together , and of harness-skills

Good fit Use it to create, inspect, and update standard, large, or rule-based segments; manage standard membership; and review references before approved changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/harness/harness-skills/manage-segments
Install

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.

Any agent
npx skills add harness/harness-skills --skill manage-segments
Clone the repo
git clone --depth 1 https://github.com/harness/harness-skills

Made for: Claude Code.

Or install harness-fme, the plugin that ships this one along with the rest of its 16 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for manage-segments

README.md
[![agentmods](https://agentmods.dev/badge/skills/harness/harness-skills/manage-segments/github.svg)](https://agentmods.dev/skills/harness/harness-skills/manage-segments)
Your own site
<a href="https://agentmods.dev/skills/harness/harness-skills/manage-segments"><img src="https://agentmods.dev/badge/skills/harness/harness-skills/manage-segments/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for manage-segments

Your own site · 80×15
<a href="https://agentmods.dev/skills/harness/harness-skills/manage-segments"><img src="https://agentmods.dev/badge/skills/harness/harness-skills/manage-segments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 155 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,643 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00155 $0.03643
Opus 5.5 $0.00062 $0.01457
Sonnet 5.5 $0.00031 $0.00729
Haiku 4.5 $0.00015 $0.00364

Measured yesterday against content hash 6dd2000408c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

manage-segments 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 yesterday.

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.

skills/fme/manage-segments/SKILL.md · 169 lines

How it starts

The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Manage Segments

Manage metadata for STANDARD, LARGE, and RULE_BASED segments, STANDARD membership, and approved RULE_BASED editor changes. Every mutation requires a complete reference-impact check and explicit approval. LARGE bulk membership operations are outside this skill's scope.

Tools

Works through Harness MCP or CLI with equivalent scope, confirmation and verification requirements. Discover exact CLI action syntax through command help; use tool-map.md for mappings. STANDARD in metadata examples stands for the selected type; definition/key rows apply only to STANDARD.

Operation MCP CLI
List traffic types harness_list · fme_traffic_type · compact: false harness list traffic_type --json
List environments harness_list · fme_environment · compact: false harness list fme_environment --json
List flags harness_list · fme_feature_flag · size: 50 · compact: false harness list feature_flag --json --limit 50
List experiments harness_list · fme_experiment · filters: { parent_type: "FEATURE_FLAG", parent_name, environment_id, status: ["ACTIVE", "PAUSED"], offset: 0, limit: 100 } · compact: false harness list experiment --parent-type FEATURE_FLAG --parent-name <flag> --env <env-id> --status ACTIVE --json, then PAUSED; fully paginate both
List flag definitions harness_list · fme_feature_flag_definition · params: { feature_flag_name } · filters: { offset: 0, limit: 100 } · compact: false harness list feature_flag:definition <flag> --json
List segments harness_list · fme_segment · filters: { segment_type, status?, offset: 0, limit: 100 } · compact: false harness list segment --segment-type STANDARD --json; safety gates list ACTIVE and ARCHIVED using declared status filters
Get segment harness_get · fme_segment · params: { segment_name, segment_type } harness get segment <name> --segment-type STANDARD --json
Create segment harness_create · fme_segment · body: { name, trafficType, segmentType, description?, tags?, owners? } harness create segment <name> --traffic-type user --segment-type STANDARD
Update segment harness_update · fme_segment · params: { segment_name, segment_type } · body: { description?, tags?, owners? } harness update segment <name> --segment-type STANDARD --set description=foo
Delete segment harness_delete · fme_segment · params: { segment_name, segment_type } harness delete segment <name> --segment-type STANDARD
List definitions harness_list · fme_segment_definition · filters: { environment_id, status?, offset: 0, limit: 100 } · compact: false harness list segment:definition --env <env-id> --json
Get definition harness_get · fme_segment_definition · params: { segment_name, environment_id } harness get segment:definition <name> --env <env-id> --json
Create definition harness_create · fme_segment_definition · params: { segment_name, environment_id } · body: { description? }? harness create segment:definition <name> --env <env-id>
Update definition harness_update · fme_segment_definition · params: { segment_name, environment_id } · body: { description? } harness update segment:definition <name> --env <env-id> --set description=foo
Delete definition harness_delete · fme_segment_definition · params: { segment_name, environment_id } harness delete segment:definition <name> --env <env-id>
List keys harness_execute · fme_segment_definition · action="list_keys" · params: { segment_name, environment_id, offset?, limit? } Discover the key-list action and pagination arguments through CLI help
Add keys harness_execute · fme_segment_definition · action="add_keys" · params: { segment_name, environment_id, replace? } · body: { keys, comment?, title? } Discover the key-add action and replacement argument through CLI help
Remove keys harness_execute · fme_segment_definition · action="remove_keys" · params: { segment_name, environment_id } · body: { keys, comment?, title? } Discover the key-remove action through CLI help

Read the full file on GitHub · 169 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. yesterday Changed · +1 lines 6dd2000408c5
  2. 9d ago First seen · 168 lines · 155 tokens per session scan A 5f58eae253cc

Subscribe to this mod's changes

manage-segments is a skill published in the GitHub repository harness/harness-skills (117 stars, last pushed yesterday), licensed Apache-2.0. It adds 155 tokens to every session and 3,643 once invoked, about $0.0006 per session on Opus 5.5. 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 2026-10-07.

Related

Other skills, from other repositories

foundry-config-setup

Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.

microsoft/agent-framework · 65 tokens

rowboat-spaces

How to work as a member of Rowboat Spaces, the team chat where people and agents work together. Load it once per session, before acting on any request that reaches you from Rowboat; it covers your setup, mentions and hand-offs, the tools, and files.

rowboatlabs/rowboat · 60 tokens

verify-omnigent

Drive Omnigent the way a user does and prove a behavior with recorded evidence, using an isolated server, runner, and mock model plus a feature map of every user entry point. Load before reproducing a user-facing bug, before claiming a fix works, or when reviewing whether a change covered every surface (session vs.…

omnigent-ai/omnigent · 100 tokens

deploy-docker-compose

Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…

omnigent-ai/omnigent · 84 tokens

haiku

When writing a haiku for this bot, follow these conventions.

agno-agi/agno · 0 tokens

azure-mgmt-botservice-dotnet

Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".

microsoft/skills · 78 tokens