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 xg-gh-25/SwarmAI --skill s_autonomous-pipelinegit clone --depth 1 https://github.com/xg-gh-25/SwarmAIWrote 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/xg-gh-25/swarmai/s_autonomous-pipeline)<a href="https://agentmods.dev/skills/xg-gh-25/swarmai/s_autonomous-pipeline"><img src="https://agentmods.dev/badge/skills/xg-gh-25/swarmai/s_autonomous-pipeline/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/xg-gh-25/swarmai/s_autonomous-pipeline"><img src="https://agentmods.dev/badge/skills/xg-gh-25/swarmai/s_autonomous-pipeline.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 | $0.00116 | $0.00448 |
| Opus 5 | $0.00058 | $0.00224 |
| Sonnet 5 | $0.00023 | $0.00090 |
| Haiku 4.5 | $0.00012 | $0.00045 |
Grade A, and why
autonomous-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 12d 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.
What it actually says
Autonomous Pipeline
This skill loads full instructions on activation. Read INSTRUCTIONS.md before proceeding.
TRIGGER: "run pipeline", "autonomous pipeline", "pipeline for", "full pipeline", DO NOT USE: for a single stage (use the specific skill: evaluate, deep-research,
Verification
Before marking the pipeline complete, show evidence for each:
- REPORT.md generated — saved to
.artifacts/runs/<RUN_ID>/REPORT.md - All stage artifacts published — every completed stage has a published artifact
- Confidence score calculated — score breakdown shown, not just a number
- Decision log complete — every non-trivial decision classified (mechanical/taste/judgment)
- TDD cycle verified — RED (tests fail) → GREEN (tests pass) → VERIFY (no regressions)
What ships with it
33 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.
- INSTRUCTIONS.md 84 KB
- OPERATIONAL_PATTERNS.md 4.4 KB
- REVIEW_PATTERNS.md 93 KB
- review-agents/code-quality.md 7.7 KB
- review-agents/security-safety.md 6.8 KB
- review-agents/spec-compliance.md 5.3 KB
- review-agents/ux-test.md 3.2 KB
- scripts/__init__.py 0 B runs code
- scripts/confidence_score.py 14 KB runs code
- scripts/goal_metrics.py 14 KB runs code
- scripts/pipeline_pr.py 14 KB runs code
- scripts/test_confidence_score.py 2.4 KB runs code
- scripts/test_pipeline_pr.py 3.8 KB runs code
- scripts/wtf_gate.py 2.6 KB runs code
- stages/build.md 59 KB
- stages/complete.md 9.2 KB
- stages/deliver.md 70 KB
- stages/evaluate.md 44 KB
- stages/goal_cycle.md 27 KB
- stages/plan.md 18 KB
- stages/reflect.md 9.7 KB
- stages/review.md 53 KB
- stages/specialists/api-contract.md 4.1 KB
- stages/specialists/concurrency.md 7.0 KB
- stages/specialists/correctness.md 7.0 KB
- stages/specialists/integration.md 3.8 KB
- stages/specialists/operational.md 7.3 KB
- stages/specialists/performance.md 3.7 KB
- stages/specialists/red-team.md 4.6 KB
- stages/specialists/security.md 11 KB
- stages/specialists/state-machine.md 6.1 KB
- stages/test.md 15 KB
- stages/think.md 9.6 KB
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.
- 12d ago First seen · 44 lines · 116 tokens per session scan A 4a757d5e4069
autonomous-pipeline is a skill published in the GitHub repository xg-gh-25/SwarmAI (44 stars, last pushed today), licensed MIT. It adds 116 tokens to every session and 448 once invoked, about $0.0006 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.
Other skills, from other repositories
auto
Drive an autonomous execution arc end-to-end — compose brainstorm→spec→/prospect→plan→/prospect→TDD→/retrospect under the Rule 35 posture, decide objectively-validatable forks yourself, and stop only on a load-bearing fork or an ungranted approval. Modes: arc (default), execute (skip ideation), plan (stop at a…
agent-tdd-london-swarm
Agent skill for tdd-london-swarm - invoke with $agent-tdd-london-swarm.
workflow-patterns
Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.
engineering-workflow
A Chinese-language workflow for reliable software development. It describes exploring the problem, making a plan, using TDD (test-driven development, where tests are written before the code), debugging methodically, reviewing code, and verifying the result.
moai-workflow-tdd
Test-Driven Development workflow specialist using RED-GREEN-REFACTOR cycle for test-first software development. Use when developing new features from scratch or when behavior specification drives implementation.
behavior-contract
Bug condition/postcondition formalization as testable Behavior Contracts. Defines invariants that must be preserved across fixes.