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 CSOAI-ORG/councilof-ai --skill gspc-routegit clone --depth 1 https://github.com/CSOAI-ORG/councilof-aiWrote 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/csoai-org/councilof-ai/gspc-route)<a href="https://agentmods.dev/skills/csoai-org/councilof-ai/gspc-route"><img src="https://agentmods.dev/badge/skills/csoai-org/councilof-ai/gspc-route/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/csoai-org/councilof-ai/gspc-route"><img src="https://agentmods.dev/badge/skills/csoai-org/councilof-ai/gspc-route.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 | $0.00168 | $0.00690 |
| Opus 5.5 | $0.00067 | $0.00276 |
| Sonnet 5.5 | $0.00034 | $0.00138 |
| Haiku 4.5 | $0.00017 | $0.00069 |
Grade A, and why
gspc-route 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 13d 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
GSPC Route: decide a path under your policy (free, decide-only)
GSPC Route (free, decide-only): applies the caller's Cedar policy (presets read-only, local-only, eu-only, no-unmeasured; forbid_providers; allow_kinds) and the fixed GSPC floor to candidates the caller declares, or to the GSPC MCP tools, reads the live board for the named quality axis, and returns the chosen candidate with an unsigned route record (csoai.evidence-event/0.1, profile csoai.route-evidence/0.1). The same module as the free MCP tool route. Routing is not ranking: TIE and UNTESTED are stated as they are, and a caller tie_break decides an unseparated comparison. Nothing is executed or charged; mode execute answers NOT_ENABLED. Measurement, not certification.
How to call it
This is an A2A skill of the Council of AI measurement agent (agent card: https://councilof.ai/.well-known/agent-card.json).
Send SendMessage to POST https://councilof.ai/api/a2a with header A2A-Version: 1.0; params.message carries a messageId and parts,
and one structured part selects the skill: {"data": {"skill": "gspc-route", "input": {...}}, "mediaType": "application/json"}.
Calling it needs no account, key or registration (see https://councilof.ai/auth.md).
Examples
- SendMessage with Part.data {"skill":"gspc-route","input":{"task":"Summarise a public paragraph.","objective":{"quality_axis":"governance"},"candidates":[{"id":"local:llama3.2-3b","kind":"local_gpu","model":"llama3.2:3b","endpoint":"local:ollama/llama3.2:3b","read_only":true},{"id":"local:mistral-7b","kind":"local_gpu","model":"mistral:7b","endpoint":"local:ollama/mistral:7b","read_only":true}]}}
Tags: routing, policy, cedar, evidence, decide-only
Measurement, never certification: an answer is evidence about specific bytes at a specific time, not a grade or mark. Generated by scripts/build-agent-skills.mjs from the agent card; do not hand-edit.
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.
- 13d ago First seen · 25 lines · 168 tokens per session scan A f45e0106de73
gspc-route is a skill published in the GitHub repository CSOAI-ORG/councilof-ai (3 stars, last pushed today), licensed MIT. It adds 168 tokens to every session and 690 once invoked, about $0.0007 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 2026-10-03.
Other skills, from other repositories
complyedge-eu-ai-act-runtime-deny
Runtime deny for EU AI Act Article 5 and Article 50 on this prompt or output via ComplyEdge TrustLint MCP. Use when the user wants agent I/O compliance enforcement, not system classification, FRIA forms, or C2PA watermarking.
hold-triage
Review and process pending governance holds. Use when holds are waiting for human approval or when the user asks about blocked operations.
code-executor-mcp
Secure code execution in sandboxed environments. Run Python, JavaScript, and shell commands safely with tier-based permissions.
memory-search-mcp
Long-term memory and context retrieval for AI agents. Semantic search across conversation history with care-weighted relevance.
web-research-mcp
Intelligent web research with source validation. Automated research synthesis with citation tracking and fact verification.
governance-setup
Configure PromptSpeak governance for a new project. Use when first setting up PromptSpeak or when the user wants to customize governance policies.