ToolHive is a platform for running and managing Model Context Protocol servers, which give AI clients access to tools and data. Developers, platform teams, and enterprises use it to isolate MCP servers, control access, and monitor their operation. The catalogue entries provide agent workflows and configuration for operating ToolHive and its MCP servers.
Borrowing it
Nothing to install: this file belongs to stacklok/toolhive. 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/stacklok/toolhive/main/.claude/skills/check-contribution/SKILL.mdgit clone --depth 1 https://github.com/stacklok/toolhiveWrote 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/stacklok/toolhive/check-contribution)<a href="https://agentmods.dev/skills/stacklok/toolhive/check-contribution"><img src="https://agentmods.dev/badge/skills/stacklok/toolhive/check-contribution/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/stacklok/toolhive/check-contribution"><img src="https://agentmods.dev/badge/skills/stacklok/toolhive/check-contribution.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 | $0.00024 | $0.00255 |
| Opus 5.5 | $0.00010 | $0.00102 |
| Sonnet 5.5 | $0.00005 | $0.00051 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
check-contribution scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Check Operator Chart Contribution Practices
Verify that all contribution guidelines from deploy/charts/operator/CONTRIBUTING.md are followed before committing Helm chart changes. Do not make any edits to files.
Checks
1. Helm Template Validation
cd "$(git rev-parse --show-toplevel)"/deploy/charts/operator && helm template test .
Verify the output contains valid Kubernetes YAML without errors.
2. Chart Linting
ct lint
Report any linting errors or warnings.
3. Documentation Generation
helm-docs --dry-run
Verify that values.yaml variables are documented and the generated README.md matches.
Output Format
✅ or ❌ Helm template renders successfully
✅ or ❌ Chart linting passes
✅ or ❌ Documentation up-to-date
Note: Chart version bumps are automated by the release bot. Feature PRs should NOT modify Chart.yaml.
Include specific errors for any failing checks with actionable remediation commands.
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 · 42 lines · 24 tokens per session scan A e4131e14376e
check-contribution is a skill published in the GitHub repository stacklok/toolhive (2,307 stars, last pushed today), licensed Apache-2.0. It adds 24 tokens to every session and 255 once invoked, about $0.0001 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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