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.
npx skills add harness/harness-skills --skill manage-experimentsgit clone --depth 1 https://github.com/harness/harness-skillsWrote 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.
[](https://agentmods.dev/skills/harness/harness-skills/manage-experiments)<a href="https://agentmods.dev/skills/harness/harness-skills/manage-experiments"><img src="https://agentmods.dev/badge/skills/harness/harness-skills/manage-experiments/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.
<a href="https://agentmods.dev/skills/harness/harness-skills/manage-experiments"><img src="https://agentmods.dev/badge/skills/harness/harness-skills/manage-experiments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00142 | $0.03035 |
| Opus 5.5 | $0.00057 | $0.01214 |
| Sonnet 5.5 | $0.00028 | $0.00607 |
| Haiku 4.5 | $0.00014 | $0.00303 |
Grade A, and why
manage-experiments 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.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manage Experiments
Create, update, or delete FEATURE_FLAG experiments. AI_CONFIG mutation workflows are not implemented here; use read-only results inspection or a separately supported workflow. Orchestrates decisions and delegates metric selection, flag setup, and results interpretation to specialist skills.
Related: choose-metric (metric selection), create-metric (metric creation), instrument-metric (event wiring), review-experiment-results (results), create-feature-flag, update-flag-targeting.
Tools
Works through the Harness MCP server or the Harness CLI; names are from tool-map.md.
| Operation | MCP | CLI |
|---|---|---|
| List experiments | harness_list · fme_experiment · filters: { parent_type, parent_name?, environment_id?, status?: ["ACTIVE", "PAUSED"], … } · compact: false |
harness list experiment --parent-type FEATURE_FLAG [--search <name>] [--status ACTIVE], then again with --status PAUSED |
| Get experiment | harness_get · fme_experiment · params: { experiment_id } |
harness get experiment <experiment-id> |
| Create experiment | harness_create · fme_experiment · params: { environment_id } · body: { parent, name, startAt, endAt, baselineTreatment, comparisonTreatments, rule: "default rule", owners?, … } |
harness create experiment <name> --env <env-id> -f experiment.json --json |
| Update experiment | harness_update · fme_experiment · params: { experiment_id } · body: { description?, hypothesis?, startAt?, endAt?, keyMetrics?, status?, rule?, … } |
harness update experiment <experiment-id> --set description=foo --set status=PAUSED |
| Delete experiment | harness_delete · fme_experiment · params: { experiment_id } |
harness delete experiment <experiment-id> |
| List environments | harness_list · fme_environment · compact: false |
harness list fme_environment --json |
| Get definition | harness_get · fme_feature_flag_definition · params: { feature_flag_name, environment_id } |
harness get feature_flag:definition <flag-name> --env <env-id> |
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.
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.
- yesterday Changed · +1 lines a2df2e3d52c5
- 9d ago First seen · 177 lines · 142 tokens per session scan A 99e8327973ad
manage-experiments is a skill published in the GitHub repository harness/harness-skills (117 stars, last pushed yesterday), licensed Apache-2.0. It adds 142 tokens to every session and 3,035 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.
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rowboat-spaces
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When writing a haiku for this bot, follow these conventions.
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