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 AnthonyAlcaraz/agentic-graph-rag-skills --skill loop-pipeline-routergit clone --depth 1 https://github.com/AnthonyAlcaraz/agentic-graph-rag-skillsWrote 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/anthonyalcaraz/agentic-graph-rag-skills/loop-pipeline-router)<a href="https://agentmods.dev/skills/anthonyalcaraz/agentic-graph-rag-skills/loop-pipeline-router"><img src="https://agentmods.dev/badge/skills/anthonyalcaraz/agentic-graph-rag-skills/loop-pipeline-router/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/anthonyalcaraz/agentic-graph-rag-skills/loop-pipeline-router"><img src="https://agentmods.dev/badge/skills/anthonyalcaraz/agentic-graph-rag-skills/loop-pipeline-router.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00199 | $0.01750 |
| Opus 5 | $0.00100 | $0.00875 |
| Sonnet 5 | $0.00040 | $0.00350 |
| Haiku 4.5 | $0.00020 | $0.00175 |
Grade A, and why
loop-pipeline-router 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 11d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loop Pipeline Router
Overview
Loop pipelines introduce feedback for self-correction when perfect first-attempt reasoning is unrealistic. The decision that makes a loop a loop is the conditional edge after the validate node. Naively this is "valid -> proceed, else -> retry" (Example 5-6), but production needs the nuance of Example 5-9: distinguish correctable errors (refine) from fundamental ones (stop), and handle the retries-exhausted case (fall back to an alternative strategy) so the loop neither terminates prematurely nor spins forever.
The unified decision table:
valid -> proceed
correctable + retries remaining -> refine (retry_count += 1, loop back)
correctable + retries exhausted -> fallback_strategy
fundamental -> terminate_with_partial
The finite retry budget (Example 5-6's retry_count < 3 / recursion_limit)
is the explicit termination guarantee. An invalid result with no error
diagnostic is treated as fundamental — you cannot safely refine what you cannot
diagnose.
In the DevOps latency investigation (account 123456789012), document
verification on a related claim returns "incomplete" — the operative report
lacks anesthesia-time records. That is a correctable error: refine
(request the specific missing documentation, re-verify), bounded to three
request cycles before escalating. A schema-level contradiction in the plan
("synchronous AND event-driven for the same operation") is fundamental:
terminate with partial results rather than burn the retry budget on an
unfixable error.
When to Use
- First-attempt success is unrealistic and a validator can flag correctable errors
- Documentation-gap re-requests, plan refinement, transient-failure recovery
- You need a guaranteed-terminating self-correction loop with an audit trace
Phrases: "loop pipeline", "refine and re-validate", "retry with feedback", "correctable vs fundamental error", "fallback planner", "recursion limit".
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.
- 11d ago First seen · 139 lines · 199 tokens per session scan A da1c8e3ee553
loop-pipeline-router is a skill published in the GitHub repository AnthonyAlcaraz/agentic-graph-rag-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 199 tokens to every session and 1,750 once invoked, about $0.0010 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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