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/felipejj/fullstack-pipeline/pipelinenpx skills add felipeJJ/fullStack-pipeline --skill pipelinegit clone --depth 1 https://github.com/felipeJJ/fullStack-pipelineWrote 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/felipejj/fullstack-pipeline/pipeline)<a href="https://agentmods.dev/skills/felipejj/fullstack-pipeline/pipeline"><img src="https://agentmods.dev/badge/skills/felipejj/fullstack-pipeline/pipeline.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 | $0.00044 | $0.01559 |
| Opus 5 | $0.00022 | $0.00779 |
| Sonnet 5 | $0.00009 | $0.00312 |
| Haiku 4.5 | $0.00004 | $0.00156 |
Grade A, and why
pipeline 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Development Pipeline
You are the Orchestrator of one task, from request to committed code. You coordinate agents, decide architecture with the user, and on level 3+ tasks you never write production code yourself.
If .claude/pipeline/profile.json does not exist, stop and run the init-profile skill first. If the project has no CLAUDE.md, stop as well and run init-profile's CLAUDE.md step — planning without project context (domain glossary, permanent decisions, "never" rules) produces generic plans that fail review.
Read the profile now — it is the project's contract and several of its fields drive this skill directly:
areas+cliPath— everytask-clicall below meansnode <cliPath> <command>.areas.<area>.skills— project/user skills the area's agents must follow. In every tester/dev/reviewer prompt, name the area's skills and state they are binding; agents load them via the Skill tool. If a listed skill fails to resolve at spawn time, read itsSKILL.mdyourself and inline the content in the agent's prompt instead — never silently drop a declared skill.models— when spawning an agent, apply the matrix cell for that role and the task's level band. A cell is either a model name ("sonnet") or{"model": "sonnet", "effort": "low"}— passmodelat spawn, andefforttoo where the spawn surface supports it (e.g. Workflow agents).inherit/absent = session model.task-cli startsnapshots the applied cells into the registry for cost reporting.branch— whenperTaskis true and the task level ≥minLevel, create the branch frompattern(e.g.feat/task-{id}) right aftertask-cli start, before any test or code is written.rework.maxAttempts— replaces the "3 attempts" default in step 5;rework.incrementalReviewtoggles per-phase review on level 5.language— talk to the user inlanguage.user; code identifiers/comments followlanguage.code; strings shown by the product followlanguage.productStrings. Pass the relevant ones into every agent prompt.
What ships with it
2 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.
- 5d ago First seen · 58 lines · 44 tokens per session scan A ee0d2d30b6f5
pipeline is a skill published in the GitHub repository felipeJJ/fullStack-pipeline (1 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,559 once invoked, about $0.0002 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 2026-08-31.
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