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 server-evidencegit 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/server-evidence)<a href="https://agentmods.dev/skills/csoai-org/councilof-ai/server-evidence"><img src="https://agentmods.dev/badge/skills/csoai-org/councilof-ai/server-evidence/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/server-evidence"><img src="https://agentmods.dev/badge/skills/csoai-org/councilof-ai/server-evidence.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 | $0.00167 | $0.00578 |
| Opus 5.5 | $0.00067 | $0.00231 |
| Sonnet 5.5 | $0.00033 | $0.00116 |
| Haiku 4.5 | $0.00017 | $0.00058 |
Grade A, and why
server-evidence 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
Server evidence: every capsule about one endpoint (free)
Trust per server, not totals. Every published measurement capsule about ONE endpoint URL across all batches: MCP contract-parity dimensions (AUTH, PAYMENT, PROTOCOL, TOOLS, VERSION), A2A agent-card signature state, self-parity cells for CSOAI's own doors, and later adapters such as tool drift. Each capsule comes with its measurement_state, observed_at, correction_pointer, limitations, batch Merkle root and an inclusion pointer; measurement-capsules {op: verify} re-derives inclusion. Read from a static per-endpoint shard keyed by sha256 of the normalised URL. An endpoint with no capsule is NOT_MEASURED with an empty list, never an error and never a clean bill. The same module as the MCP tool server_evidence. Measurement, not endorsement.
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": "server-evidence", "input": {...}}, "mediaType": "application/json"}.
Calling it needs no account, key or registration (see https://councilof.ai/auth.md).
Examples
- SendMessage with Part.data {"skill":"server-evidence","input":{"endpoint_url":"https://example.com/mcp"}}
Tags: measurement, mcp, a2a, per-server, evidence
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 · 167 tokens per session scan A ebe4d5e7cd07
server-evidence is a skill published in the GitHub repository CSOAI-ORG/councilof-ai (3 stars, last pushed today), licensed MIT. It adds 167 tokens to every session and 578 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.