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 Kyne0328/rel-ai-local-coding-agent --skill rel-ai-dev-processgit clone --depth 1 https://github.com/Kyne0328/rel-ai-local-coding-agentWrote 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/kyne0328/rel-ai-local-coding-agent/rel-ai-dev-process)<a href="https://agentmods.dev/skills/kyne0328/rel-ai-local-coding-agent/rel-ai-dev-process"><img src="https://agentmods.dev/badge/skills/kyne0328/rel-ai-local-coding-agent/rel-ai-dev-process/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/kyne0328/rel-ai-local-coding-agent/rel-ai-dev-process"><img src="https://agentmods.dev/badge/skills/kyne0328/rel-ai-local-coding-agent/rel-ai-dev-process.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 | $0.00057 | $0.00461 |
| Opus 5.5 | $0.00023 | $0.00184 |
| Sonnet 5.5 | $0.00011 | $0.00092 |
| Haiku 4.5 | $0.00006 | $0.00046 |
Grade A, and why
rel-ai-dev-process 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.
What it actually says
Rel.AI Development Process
Reuse the active work_id opened by rel-ai-workflow. Do not call relai_work with action: "begin" when the same objective already has a work session.
Use runtime workflow guidance before starting another process. If relai_process returns reused: true, keep the reused same-task process and continue from its readiness/log state; do not start a duplicate process. workflow.recommendedActions calibrates whether more process evidence is useful or control should return to debugging/verification.
Use this process flow: start with explicit purpose -> determine readiness -> inspect incremental output -> interact only if required -> reuse process -> stop when no longer needed.
- Confirm the command is genuinely persistent or interactive. Do not trigger for tests, builds, linters, source checks, release gates, or other one-shot commands; those belong in
relai_execorrelai_validate. - Start it with
relai_processactionstart, an explicitkind(service,watcher, orinteractive), and a concretepurposeexplaining why persistence is needed. - Determine readiness from startup output or a bounded HTTP probe before treating the process as usable.
- Read logs incrementally with stdout/stderr offsets. Reuse
metadataRevisionafter the first read so unchanged process metadata is not returned repeatedly. - Reuse the same live process while it still serves the objective. Write stdin only when an interactive program actually expects it.
- When the runtime has produced enough evidence, return control to
rel-ai-debuggingfor defect work orrel-ai-verificationfor proof instead of keeping process management as the active concern. - Stop the process explicitly when it is no longer needed.
- Use
relai_execorrelai_validateinstead for one-shot tests, builds, checks, migrations that terminate, or release gates.
What ships with it
1 file 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 · 21 lines · 57 tokens per session scan A 58527a833992
rel-ai-dev-process is a skill published in the GitHub repository Kyne0328/rel-ai-local-coding-agent (19 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 57 tokens to every session and 461 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.
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