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 LerianStudio/ring --skill using-pm-teamgit clone --depth 1 https://github.com/LerianStudio/ringWrote 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/lerianstudio/ring/using-pm-team)<a href="https://agentmods.dev/skills/lerianstudio/ring/using-pm-team"><img src="https://agentmods.dev/badge/skills/lerianstudio/ring/using-pm-team/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/lerianstudio/ring/using-pm-team"><img src="https://agentmods.dev/badge/skills/lerianstudio/ring/using-pm-team.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 | $0.00100 | $0.01126 |
| Opus 5 | $0.00050 | $0.00563 |
| Sonnet 5 | $0.00020 | $0.00225 |
| Haiku 4.5 | $0.00010 | $0.00113 |
Grade A, and why
ring:using-pm-team 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 5d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using Ring PM-Team: Pre-Dev Workflow
When to use
- Starting any feature implementation
- Need systematic planning before coding
- User requests "plan a feature"
Skip when
- Quick exploratory work → skip formal planning
- Bug fix with known solution → direct implementation
- Trivial change (<1 hour) → skip formal planning
The ring-pm-team plugin provides 14 skills and 4 agents. Use them via Skill tool: "ring:gate-name".
Follow the ORCHESTRATOR principle from ring:using-ring. Dispatch pre-dev workflow to handle planning; plan thoroughly before coding.
All artifacts land in docs/pre-dev/<feature-name>/. Both tracks end at plan.md — the single execution document consumed by ring:running-dev-cycle and ring:executing-plans.
Two Tracks: Choose Your Path
Small Track (4 Gates) — <2 Day Features
Use when ALL criteria met: implementation <2 days, no new external dependencies, no new data models, no multi-service integration, uses existing architecture, single developer.
| Gate | Skill | Output |
|---|---|---|
| 0 | ring:researching-features | research.md |
| 1 | ring:writing-prds | prd.md |
| 2 | ring:writing-trds | trd.md |
| 3 | ring:writing-plans (invoked by orchestrator) | plan.md |
Large Track (8 Gates) — ≥2 Day Features
Use when ANY criteria met: implementation ≥2 days, new external dependencies, new data models/entities, multi-service integration, new architecture patterns, team collaboration needed.
| Gate | Skill | Output |
|---|---|---|
| 0 | ring:researching-features | research.md |
| 1 | ring:writing-prds | prd.md |
| 2 | ring:mapping-feature-relationships | feature-map.md |
| 3 | ring:writing-trds | trd.md |
| 4 | ring:designing-api-contracts | openapi.yaml |
| 5 | ring:designing-data-model | schema.sql / schema.prisma (stack-native) |
| 6 | ring:pinning-dependency-versions | dependencies.md |
| 7 | ring:writing-plans (default plugin, invoked by orchestrator) | plan.md |
Gate Summaries
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.
- 5d ago First seen · 91 lines · 100 tokens per session scan A bac9b138adc5
ring:using-pm-team is a skill published in the GitHub repository LerianStudio/ring (211 stars, last pushed 20d ago), licensed Apache-2.0. It adds 100 tokens to every session and 1,126 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
ds-ship
Ship orchestrator — classify the project, pick a mode (improve/release/launch/maintain), delegate only the skills the project's signals justify, consolidate findings, produce an audit report. Use for an end-to-end audit or ship pipeline across multiple skills.
trajectory
Internal dynos-work skill. Sequence memory manager. Stores compact task traces and retrieves similar prior tasks to inform discovery and design review. Runs only when the user explicitly types /dynos-work:trajectory; never auto-triggered from conversation.
repair
Internal dynos-work skill. Manually repair one specific finding without running the full audit loop (/dynos-work:audit handles repair automatically). Runs only when the user explicitly types /dynos-work:repair; never auto-triggered from conversation.
ds-build
Plan executor — take an issue, a specs/{feature}/tasks.md, or a plain request and implement it unit by unit with a verify signal per unit, red-proven tests, budgeted backtracking, and a code-proven close. Use when the plan exists and the work is to be done, not planned.
list
Internal dynos-work skill. List all registered dynos-work projects. Runs only when the user explicitly types /dynos-work:list; never auto-triggered from conversation.
ds-issue
GitHub-Issues lifecycle in one skill — file a verified deduped issue, sweep the set for duplicates, audit done-ness from code, and execute an issue end-to-end (re-verify → impact map → implement → code-proven close). Use to open, refine, sweep, status-check, or do an issue.