Borrowing it
Nothing to install: this file belongs to c9r-io/orchestrator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/c9r-io/orchestrator/main/.claude/skills/grpc-regression/SKILL.mdgit clone --depth 1 https://github.com/c9r-io/orchestratorWrote 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/c9r-io/orchestrator/grpc-regression)<a href="https://agentmods.dev/skills/c9r-io/orchestrator/grpc-regression"><img src="https://agentmods.dev/badge/skills/c9r-io/orchestrator/grpc-regression/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/c9r-io/orchestrator/grpc-regression"><img src="https://agentmods.dev/badge/skills/c9r-io/orchestrator/grpc-regression.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 | $0.00041 | $0.00337 |
| Opus 5 | $0.00020 | $0.00169 |
| Sonnet 5 | $0.00008 | $0.00067 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
grpc-regression 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 9d 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
gRPC Regression
Choose the transport from the repository, not from the skill name.
Agent Orchestrator Repository
The daemon uses ~/.orchestratord/orchestrator.sock by default, overridable by ORCHESTRATORD_DATA_DIR or ORCHESTRATOR_SOCKET. Exercise RPC behavior through the orchestrator CLI unless the daemon was explicitly bound to TCP. Start with:
orchestrator daemon status
orchestrator debug --component daemon
orchestrator check
Use crates/proto/orchestrator.proto as the canonical service definition. For a specific RPC, prefer the matching CLI command and assert both success and its expected error category.
Docker Network Branch
The shared helpers .claude/skills/tools/grpc-smoke.sh and .claude/skills/tools/grpcurl-docker.sh are for a target that actually has a Compose network. Confirm its compose file and network before use; docker/docker-compose.yml is a generated-project convention, not a file in this repository.
Recommended checks when that branch applies:
- Missing credentials fail with the expected authentication status.
- Valid credentials cross the transport boundary.
- Wrong client certificates fail the TLS handshake.
- Reflection-disabled services are called with the target's mounted canonical proto.
Never start containers or pull a grpcurl image merely to test the local UDS daemon.
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.
- 9d ago First seen · 34 lines · 41 tokens per session scan A 68091b7bda73
grpc-regression is a skill published in the GitHub repository c9r-io/orchestrator (21 stars, last pushed 7d ago), licensed MIT. It adds 41 tokens to every session and 337 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 2026-08-30.
Other skills, from other repositories
contributor-onboarding
Help a new contributor get productive on this checkout - inspect sync state against main, build, run the repository's exact verification gate, and produce a local what's-new digest. Never fetches, pulls, or modifies a dirty tree on its own. Explicit-only.
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
gh-file-issue
Use when filing a new Codewhale GitHub issue: turn a bug or idea into a well-formed, actionable issue with repro, acceptance criteria, labels, and milestone.
gh-find-prs
Survey open Codewhale PRs and triage each for mergeability and disposition against the real landing branch.
gh-treasure-hunt
Hunt the issue/PR queue for highest value-over-risk wins: clean focused community PRs, already-implemented issues to close, safe quick-fixes.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.