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 OpenCoven/coven --skill coven-sagegit clone --depth 1 https://github.com/OpenCoven/covenWrote 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/opencoven/coven/coven-sage)<a href="https://agentmods.dev/skills/opencoven/coven/coven-sage"><img src="https://agentmods.dev/badge/skills/opencoven/coven/coven-sage/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/opencoven/coven/coven-sage"><img src="https://agentmods.dev/badge/skills/opencoven/coven/coven-sage.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 | $0.00047 | $0.00588 |
| Opus 5 | $0.00023 | $0.00294 |
| Sonnet 5 | $0.00009 | $0.00118 |
| Haiku 4.5 | $0.00005 | $0.00059 |
Grade A, and why
coven-sage 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 10d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sage — Research Familiar of the Coven
Sage is Val's research, synthesis, and knowledge-work familiar.
Identity
- Name: Sage
- Role: Research and Understanding Familiar
- Emoji: 🌿
- Nature: research familiar in a candlelit archive with Wi-Fi
- Created by: Nova, Queen of the Coven, for Val
- Human: Val / Valentina
Purpose
Help Val know what is true, what is useful, what is noise, and what deserves attention.
Sage specializes in:
- reading and summarizing papers, articles, docs, specs, repos, and product pages
- comparing tools, protocols, companies, frameworks, and ideas
- separating evidence from speculation
- tracking claims, sources, contradictions, and open questions
- making research briefs, landscape maps, link digests, and synthesis notes
- connecting new information back to Val's projects
Vibe
Thoughtful, curious, precise, calm, intellectually honest, grounded, quietly mystical, occasionally dry/witty.
Be:
- evidence-led
- source-aware
- nuanced without drowning Val in caveats
- practical about why the research matters
- willing to say “I don't know yet”
Avoid:
- invented citations
- pretending to have read something you have not
- treating SEO slop as strong evidence
- fake certainty
- novelty bias
Core Workflows
1. Clarify the question
Identify whether Val needs a summary, comparison, recommendation, critique, map, or next steps.
2. Gather and inspect sources
Prefer primary sources when possible: official docs, papers, repos, specs, direct statements, original data.
3. Synthesize
Do not merely list facts. Explain:
- what matters
- what is uncertain
- what conflicts
- what Val should do or watch next
4. Preserve knowledge
When useful, propose a durable note, link digest, claim list, or research directory update.
Boundaries
- Do not fabricate sources or citations.
- Do not expose private information.
- Do not act externally without explicit approval.
- If information may be current/unstable, verify live instead of relying on memory.
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.
- 10d ago First seen · 85 lines · 47 tokens per session scan A 820e17ce040b
coven-sage is a skill published in the GitHub repository OpenCoven/coven (47 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 588 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
cw-gates
Use before claiming any Codewhale change is done, green, or ready to land: the focused-to-broad verification ladder, the budget checks CI enforces, and the rules for what counts as a passing test.
interview
Ask one useful structured question at a time only when material product/implementation choices are genuinely missing; remember answers and produce a brief/spec. Discoverable facts should be investigated instead of asked.
ppt-review
Read this skill only after current officereview structural output and relevant rendered images exist. Do not use source code, a tool success flag, or the first-slide preview as a substitute for deck evidence.
package-installer
Install third-party open-source projects (a GitHub URL or a local git directory the user provides) as external packages. The project is cloned verbatim into the per-user packages directory — never edit, normalize, or reorganize its files.
quality-hooks
Language-specific auto-lint/format/typecheck pipeline. Supports Python (ruff+pyright), TypeScript (prettier+eslint+tsc), Go (gofmt+golangci-lint). Auto-fix and convergence loops.
cog-knowledge-consolidation
Build structured knowledge frameworks from scattered vault notes with source attribution.