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 bybren-llc/safe-agentic-workflow --skill linear-sopgit clone --depth 1 https://github.com/bybren-llc/safe-agentic-workflowWrote 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/bybren-llc/safe-agentic-workflow/linear-sop)<a href="https://agentmods.dev/skills/bybren-llc/safe-agentic-workflow/linear-sop"><img src="https://agentmods.dev/badge/skills/bybren-llc/safe-agentic-workflow/linear-sop/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/bybren-llc/safe-agentic-workflow/linear-sop"><img src="https://agentmods.dev/badge/skills/bybren-llc/safe-agentic-workflow/linear-sop.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 | $0.00049 | $0.01685 |
| Opus 5.5 | $0.00020 | $0.00674 |
| Sonnet 5.5 | $0.00010 | $0.00337 |
| Haiku 4.5 | $0.00005 | $0.00169 |
Grade A, and why
linear-sop 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 1mo 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Linear SOP Skill
TEMPLATE: This skill uses
{{PLACEHOLDER}}tokens. Replace with your project values before use.
Purpose
Guide consistent ticket management. Provides evidence templates for the mandatory dev/staging/UAT evidence policy.
When This Skill Applies
- Creating new issues in the ticket system
- Updating ticket status
- Attaching evidence to tickets
- Parsing acceptance criteria
- Working with UUIDs and issue IDs
Ticket System Operations
Reading Issues
# Get issue by identifier
get_issue({ id: "{{TICKET_PREFIX}}-459" })
# List issues with filters
list_issues({
team: "{{PROJECT_TEAM_NAME}}",
state: "In Progress",
assignee: "me",
})
Creating Issues
create_issue({
title: "feat(scope): description",
team: "{{PROJECT_TEAM_NAME}}",
description: "## Summary\n\n...",
labels: ["feature", "sprint-1"],
parentId: "parent-uuid", // Optional - for sub-issues
})
Updating Issues
update_issue({
id: "{{TICKET_PREFIX}}-459",
state: "Done",
})
Adding Comments
create_comment({
issueId: "{{TICKET_PREFIX}}-459",
body: "**Dev Evidence**\n\n...",
})
Program Structure
For work that spans many issues, most trackers have objects above the issue. Use them; do not flatten a program into a flat list of tickets.
The Hierarchy
Initiative the program (one per program)
└── Project a Unit of Work — one coherent outcome
├── Milestone an AI-DLC phase: Inception, Construction, Operations
└── Issue a Story
└── Sub-issue a Mob Elaboration task (created during Inception, not before)
Prerequisite: labels must already exist
Program build-out assumes these label namespaces are pre-created in the workspace. Create them before building the program, not during:
bolt:0…bolt:N— which Bolt an issue belongs toagent:*— the lead role (must match an actual agent role defined for the project)
What ships with it
3 files 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.
- 1mo ago First seen · 271 lines · 49 tokens per session scan A 6cb2ebc3656c
linear-sop is a skill published in the GitHub repository bybren-llc/safe-agentic-workflow (425 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 1,685 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
sprint-plan
New or updated sprint plan from the current milestone, completed work, and available capacity.
release-checklist
Pre-release checklist — build verification, certification requirements, store metadata, launch readiness.
milestone-review
Milestone progress review — completeness, quality metrics, risk, go/no-go recommendation. At checkpoints or before a deadline.
retrospective
Sprint or milestone retrospective from completed work, velocity, blockers. Actionable insights for the next iteration.
sprint-status
Fast, concise sprint snapshot — burndown and emerging risks for situational awareness. 'How is the sprint going?'.
tech-debt
Track, categorize and prioritize technical debt across the codebase — scans for debt indicators, maintains a register.