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 chrisblattman/claudeblattman --skill ask-agentsgit clone --depth 1 https://github.com/chrisblattman/claudeblattmanWrote 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/chrisblattman/claudeblattman/ask-agents)<a href="https://agentmods.dev/skills/chrisblattman/claudeblattman/ask-agents"><img src="https://agentmods.dev/badge/skills/chrisblattman/claudeblattman/ask-agents/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/chrisblattman/claudeblattman/ask-agents"><img src="https://agentmods.dev/badge/skills/chrisblattman/claudeblattman/ask-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 45 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00042 | $0.00400 |
| Opus 5.5 | $0.00017 | $0.00160 |
| Sonnet 5.5 | $0.00008 | $0.00080 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
ask-agents 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 4d 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
Ask Agents
Read references/host.md and references/transport.md next to this skill. They specify the installed app's runner and its actual capabilities. Ask Agents is request-exact: it does not expand a question into a council or add unrequested providers. Council manages its own panel and may share transport machinery without invoking this conversational workflow.
Before an external call, apply the existing privacy and send-authorization checks. Do not transmit confidential records, personal contact data, participant data, private transcripts, or unpublished sensitive work through these starter adapters. Offer a local answer or a redacted request for approval. Respect explicit authorization already given for this task and service; do not ask again for an unchanged authorized action. Otherwise explain the service and content and obtain send authorization. Never bypass host permissions.
For independent opinions, send the same self-contained question and permitted evidence to separate fresh invocations. Add a concrete specialist question when useful. Do not let a later reviewer see earlier answers. Multiple requested reviewers from one service require multiple calls and distinct report files.
Use the bundled transport as documented. State its actual limits rather than claiming it is Chris's unrestricted balanced runtime. Missing executables or authentication are setup failures; never fabricate an external response. Retain the full reply and actual execution/access status. Identify the requested and observed model separately when available; never infer observed identity from the requested name.
For a standalone question, relay the answer with a brief comparison and useful next action. If a larger workflow called the runner for reports, save each unabridged response to that workflow's archive and return it without performing an extra synthesis. Preserve separate partial/additional replies and failures. Only remove temporary data after all required reports and status records have been saved.
What ships with it
4 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.
- 4d ago Changed · -93 lines · -13 tokens per session 4b8ab7f04383
- 1mo ago First seen · 110 lines · 55 tokens per session scan A 37578de36014
ask-agents is a skill published in the GitHub repository chrisblattman/claudeblattman (470 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 400 once invoked, about $0.0002 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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