Borrowing it
Nothing to install: this file belongs to agent-tower/core. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/agent-tower/core/main/.agents/skills/convert-skill-to-teamrun-members/SKILL.mdgit clone --depth 1 https://github.com/agent-tower/coreWrote 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/agent-tower/core/convert-skill-to-teamrun-members)<a href="https://agentmods.dev/skills/agent-tower/core/convert-skill-to-teamrun-members"><img src="https://agentmods.dev/badge/skills/agent-tower/core/convert-skill-to-teamrun-members/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/agent-tower/core/convert-skill-to-teamrun-members"><img src="https://agentmods.dev/badge/skills/agent-tower/core/convert-skill-to-teamrun-members.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00085 | $0.01684 |
| Opus 5 | $0.00043 | $0.00842 |
| Sonnet 5 | $0.00017 | $0.00337 |
| Haiku 4.5 | $0.00009 | $0.00168 |
Grade A, and why
convert-skill-to-teamrun-members 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 9d ago.
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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Convert Skill to TeamRun Members
Use this skill to translate a source methodology into an Agent Tower TeamRun team design. Keep the output practical: roles, permissions, prompts, orchestration, landing steps, and verification.
Workflow
-
Read the source material.
- Inspect the external skill, repo, docs, examples, and any existing prompt files.
- Identify capability modules, expected artifacts, inputs, outputs, handoff points, and explicit boundaries.
- Separate reusable method knowledge from one-off conversation history; do not paste long source text into prompts.
-
Decide what should become a member.
- Create a TeamRun member only when the capability has a distinct responsibility, clear input/output contract, and meaningful independent result.
- Put routing logic, sequencing rules, and result integration in the Leader or PM Leader prompt instead of creating a member for every concept.
- Do not memberize reference material, low-value checklists, pure terminology, or work that is better handled by an existing Implementer/Reviewer/Tester role.
-
Define each role configuration.
- Specify
name,aliases,providerIdrecommendation if known,workspacePolicy,triggerPolicy,sessionPolicy,queueManagementPolicy, and capabilities. - Use the exact capability fields:
readRoom,postRoomMessage,mentionMembers,stopMemberWork,markReadyForReview,readFiles,writeFiles,runCommands,readDiff,mergeWorkspace. - Default expert and specialist roles to
triggerPolicy: MENTION_ONLYso the Leader explicitly invokes them. - Default user-entry Leaders to
triggerPolicy: USER_MESSAGES. - Default specialists to minimum capabilities: usually
readRoomandpostRoomMessage; addmentionMembersonly when they must hand off work. - Use
workspacePolicy: nonewhen a role does not need repository access. - Use
workspacePolicy: sharedwithreadFilesfor roles that inspect docs/code but do not edit. - Grant
writeFiles,runCommands,readDiff, ormergeWorkspaceonly when the role's normal job requires them. - Use
sessionPolicy: resume_lastfor roles that benefit from continuity, andnew_per_requestfor independent audit/check roles. - Use
queueManagementPolicy: own_onlyfor specialists andteam_pendingonly for coordinator roles that must manage team queues.
- Specify
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.
- 9d ago First seen · 126 lines · 85 tokens per session scan A 863a44220cdb
convert-skill-to-teamrun-members is a skill published in the GitHub repository agent-tower/core (355 stars, last pushed 29d ago), licensed Apache-2.0. It adds 85 tokens to every session and 1,684 once invoked, about $0.0004 per session on Opus 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 2026-08-30.
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