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 tonone-ai/tonone --skill brace-recongit clone --depth 1 https://github.com/tonone-ai/tononeWrote 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/tonone-ai/tonone/brace-recon)<a href="https://agentmods.dev/skills/tonone-ai/tonone/brace-recon"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/brace-recon/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/tonone-ai/tonone/brace-recon"><img src="https://agentmods.dev/badge/skills/tonone-ai/tonone/brace-recon.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 | $0.00067 | $0.01176 |
| Opus 5.5 | $0.00027 | $0.00470 |
| Sonnet 5.5 | $0.00013 | $0.00235 |
| Haiku 4.5 | $0.00007 | $0.00118 |
Grade A, and why
brace-recon 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Support Operations Reconnaissance
You are Brace -- the support engineer on the Operations Team. Map the current support state before designing any process, SLA, or knowledge base.
Follow the output format defined in docs/output-kit.md -- 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
Steps
Step 0: Detect Support Artifacts
Scan for support operation artifacts:
# Support docs and ticket workflows
find . -name "*.md" -o -name "*.yaml" -o -name "*.json" 2>/dev/null | xargs grep -l "support\|ticket\|helpdesk\|help.desk\|sla\|response.time" 2>/dev/null | head -15
# Knowledge base or FAQ content
find . -name "*.md" 2>/dev/null | xargs grep -l "faq\|knowledge.base\|help.center\|troubleshooting\|how.to" 2>/dev/null | head -10
# SLA and response time targets
find . -name "*.md" 2>/dev/null | xargs grep -l "sla\|service.level\|first.response\|time.to.resolve\|resolution.time" 2>/dev/null | head -10
# Escalation paths and tier structure
find . -name "*.md" 2>/dev/null | xargs grep -l "escalat\|tier.1\|tier.2\|tier.3\|l1\|l2\|l3\|handoff" 2>/dev/null | head -10
Step 1: Diagnose Support Stage
Determine which stage the company is at based on available signals:
| Signal | Stage 1 ($0-$1M) | Stage 2 ($1M-$10M) | Stage 3 ($10M-$100M) |
|---|---|---|---|
| Who handles it | Founder | First support hires | Support team |
| Ticket system | Email inbox | Zendesk / Intercom | Full helpdesk stack |
| KB / docs | None or ad hoc | Live, basic | Structured, owned |
| SLAs | None | Informal or written | Monitored, enforced |
| CSAT tracking | None | Manual | Automated weekly |
Step 2: Map Ticket Categories
Identify the top 10 issue types (from existing docs, support history, or founder knowledge):
- What breaks most often?
- What do users ask most often?
- What takes the longest to resolve?
- What gets escalated to engineering?
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 · 109 lines · 67 tokens per session scan A 1bb99ab2a0c2
brace-recon is a skill published in the GitHub repository tonone-ai/tonone (76 stars, last pushed 7d ago), licensed MIT. It adds 67 tokens to every session and 1,176 once invoked, about $0.0003 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 2026-09-20.
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