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 blacktop/mcp-tts --skill skillgit clone --depth 1 https://github.com/blacktop/mcp-ttsWrote 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/blacktop/mcp-tts/skill)<a href="https://agentmods.dev/skills/blacktop/mcp-tts/skill"><img src="https://agentmods.dev/badge/skills/blacktop/mcp-tts/skill/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/blacktop/mcp-tts/skill"><img src="https://agentmods.dev/badge/skills/blacktop/mcp-tts/skill.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 Excessive Agency · line 100 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00099 | $0.01860 |
| Opus 5.5 | $0.00040 | $0.00744 |
| Sonnet 5.5 | $0.00020 | $0.00372 |
| Haiku 4.5 | $0.00010 | $0.00186 |
Grade A, and why
speak 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 1mo 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Speak
Use speech as an attention channel for meaningful agent transitions. Keep the complete result, evidence, and required interaction in text; audio only alerts the user or gives a short digest.
Non-negotiable rules
- Preserve task truth. Never announce success while checks failed, were skipped, remain pending, or could not run.
- Never let a TTS failure change whether the main task continues, stops, succeeds, or fails.
- Never speak secrets, tokens, credentials, private keys, environment values, proprietary source, raw logs, stack traces, personal data, or full sensitive identifiers.
- Respect quiet requests. Stay silent in CI, headless sessions, non-interactive automation, or when no audio tool is available.
- Deduplicate announcements. Speak once per meaningful transition, blocker, or request for help.
- Make no persistent configuration changes unless the user explicitly asks.
Decide whether to speak
| Event | Mode | Action |
|---|---|---|
| A substantial plan is finalized | Notify | Announce the objective and major phases, then continue |
| A long-running build, test, deployment, release, research, or monitoring operation changes phase | Notify | Announce a meaningful status transition, then continue |
| A major task completes or its final handoff is lengthy | Notify | Announce the outcome and where details are available |
| A transient failure has a safe recovery path | Silent | Recover within the retry budget |
| A fallback succeeds after a meaningful failure | Notify if useful | State the degraded path or limitation, then continue |
| A retry budget is exhausted or a terminal failure remains | Intervene | State the blocker and exact help needed |
| Approval, authentication, a consequential decision, manual action, or external-state change is required | Intervene | Announce once, provide the full request in text, then stop |
| A wait or monitoring poll is unchanged | Silent | Keep waiting without repeated announcements |
| A routine edit, tool call, short answer, or intermediate test passes | Silent | Continue normally |
What ships with it
2 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.
- 1mo ago First seen · 147 lines · 99 tokens per session scan A a0a4dc45b3f7
speak is a skill published in the GitHub repository blacktop/mcp-tts (74 stars, last pushed 3d ago), licensed MIT. It adds 99 tokens to every session and 1,860 once invoked, about $0.0004 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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