Borrowing it
Nothing to install: this file belongs to SpecterOps/ConfigManBearPig. 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/SpecterOps/ConfigManBearPig/main/.agents/skills/openhound/SKILL.mdgit clone --depth 1 https://github.com/SpecterOps/ConfigManBearPigWrote 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/specterops/configmanbearpig/openhound)<a href="https://agentmods.dev/skills/specterops/configmanbearpig/openhound"><img src="https://agentmods.dev/badge/skills/specterops/configmanbearpig/openhound.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.00597 |
| Opus 5 | $0.00016 | $0.00298 |
| Sonnet 5 | $0.00006 | $0.00119 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
openhound 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 6d 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenHound Development Skill
Use this skill for any OpenHound collector task.
Critical Rules (Always apply)
- Read
.agents/standards/openhound.mdbefore editing collector code. This includes important standards and best practices for OpenHound collector development that are not repeated in the reference docs. - Based on the requested task, select the matching reference from the routing table. These contain specific rules and examples for different types of collector work.
- For broad collector work, or when creating a new collector, read
.agents/standards/workflow.md. - Important: Before finishing collector and graph behavior changes read
references/validate-extension.md.
Route By Task
| Task | Reference |
|---|---|
| Plan a new collector from API docs, sample responses, or requirements | references/plan-collector.md |
| Define graph base classes, common properties, node IDs, or edge properties | references/graph-schema.md |
Register collect, preproc, convert, metadata, or entry points |
references/register-extension.md |
| Implement API clients, auth, DLT resources, transformers, or secrets | references/source-collection.md |
| Add or modify models, node assets, edge assets, kind constants, or exports | references/add-asset.md |
Add DuckDB transforms, lookup methods, lookup registration, or self._lookup usage |
references/preproc-lookup.md |
| Validate collector changes before finishing | references/validate-extension.md |
Routing Rules
- If the task touches multiple areas, read every matching reference.
- If adding or changing collector behavior, always read
references/validate-extension.mdbefore finishing. - If the task involves a new collector or broad redesign, start with
references/plan-collector.md. - If models use
self._lookup, also readreferences/preproc-lookup.mdandreferences/register-extension.md. - If adding a new collected resource, usually read
references/source-collection.md,references/add-asset.md, andreferences/validate-extension.md.
What ships with it
7 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.
- 6d ago First seen · 46 lines · 32 tokens per session scan A c09b0370cd10
openhound is a skill published in the GitHub repository SpecterOps/ConfigManBearPig (147 stars, last pushed 28d ago), licensed Apache-2.0. It adds 32 tokens to every session and 597 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
agent-platform-rag-engine-management
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google…
agent-platform-model-registry
Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.
foundry-config-setup
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.
google-cloud-solution-agentic-analytics-spark-knowledge-catalog
Discovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is…
training-check
Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.