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 agentmods add skills/junmystery/agent-guidance-python/project-flow-opsnpx skills add JunMystery/Agent-Guidance-Python --skill project-flow-opsgit clone --depth 1 https://github.com/JunMystery/Agent-Guidance-PythonWrote 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/junmystery/agent-guidance-python/project-flow-ops)<a href="https://agentmods.dev/skills/junmystery/agent-guidance-python/project-flow-ops"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/project-flow-ops.svg" alt="Measured on agentmods" 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 | $0.00059 | $0.00713 |
| Opus 5 | $0.00030 | $0.00357 |
| Sonnet 5 | $0.00012 | $0.00143 |
| Haiku 4.5 | $0.00006 | $0.00071 |
Grade A, and why
project-flow-ops 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 2d 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.
This is a copy
100% identical to project-flow-ops — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Flow Ops
This skill turns disconnected GitHub issues, PRs, and Linear tasks into one execution flow.
Use it when the problem is coordination, not coding.
When to Use
- Triage open PR or issue backlogs
- Decide what belongs in Linear vs what should remain GitHub-only
- Link active GitHub work to internal execution lanes
- Classify PRs into merge, port/rebuild, close, or park
- Audit whether review comments, CI failures, or stale issues are blocking execution
Operating Model
- GitHub is the public and community truth
- Linear is the internal execution truth for active scheduled work
- Not every GitHub issue needs a Linear issue
- Create or update Linear only when the work is:
- active
- delegated
- scheduled
- cross-functional
- important enough to track internally
Core Workflow
1. Read the public surface first
Gather:
- GitHub issue or PR state
- author and branch status
- review comments
- CI status
- linked issues
2. Classify the work
Every item should end up in one of these states:
| State | Meaning |
|---|---|
| Merge | self-contained, policy-compliant, ready |
| Port/Rebuild | useful idea, but should be manually re-landed inside ECC |
| Close | wrong direction, stale, unsafe, or duplicated |
| Park | potentially useful, but not scheduled now |
3. Decide whether Linear is warranted
Create or update Linear only if:
- execution is actively planned
- multiple repos or workstreams are involved
- the work needs internal ownership or sequencing
- the issue is part of a larger program lane
Do not mirror everything mechanically.
4. Keep the two systems consistent
When work is active:
- GitHub issue/PR should say what is happening publicly
- Linear should track owner, priority, and execution lane internally
When work ships or is rejected:
- post the public resolution back to GitHub
- mark the Linear task accordingly
Review Rules
- Never merge from title, summary, or trust alone; use the full diff
- External-source features should be rebuilt inside ECC when they are valuable but not self-contained
- CI red means classify and fix or block; do not pretend it is merge-ready
- If the real blocker is product direction, say so instead of hiding behind tooling
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.
- 2d ago First seen · 112 lines · 59 tokens per session scan A cbde44a04cf1
project-flow-ops is a skill published in the GitHub repository JunMystery/Agent-Guidance-Python (2 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 713 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to project-flow-ops, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
planning-and-task-breakdown
Breaks work into ordered tasks. Use when you have a spec or clear requirements and need to break work into implementable tasks. Use when a task feels too large to start, when you need to estimate scope, or when parallel work is possible.
frontmcp-setup
Use when starting, scaffolding, or organizing a FrontMCP project. Covers creating a new project (CLI scaffold or manual) for Node, Vercel, and other targets; standalone versus Nx-monorepo layout, naming conventions, generators, and dependency rules; composing multiple @App classes, ESM packages, and remote MCP servers…
compliance-frameworks
ISO 27001, NIST CSF 2.0, CIS Controls v8.1, EU CRA compliance mapping, multi-standard alignment per Hack23 ISMS policies.
arkana-analyse
British English alias for the arkana-analyze skill. Binary analysis skill for Arkana. Triggers on: analyse, analyze, binary, malware, reverse engineer.
apitap
ApiTap gives AI agents cheap access to web data through three layers.