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 ryanczak/rexyMCP --skill escalategit clone --depth 1 https://github.com/ryanczak/rexyMCPWrote 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/ryanczak/rexymcp/escalate)<a href="https://agentmods.dev/skills/ryanczak/rexymcp/escalate"><img src="https://agentmods.dev/badge/skills/ryanczak/rexymcp/escalate/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/ryanczak/rexymcp/escalate"><img src="https://agentmods.dev/badge/skills/ryanczak/rexymcp/escalate.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 6 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00031 | $0.03017 |
| Opus 5.5 | $0.00012 | $0.01207 |
| Sonnet 5.5 | $0.00006 | $0.00603 |
| Haiku 4.5 | $0.00003 | $0.00302 |
Grade A, and why
escalate 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 2mo 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Escalate Skill
This skill handles escalation decisions when the executor returns a
hard_fail or budget_exceeded result. Given the briefing, you choose a
lever: refined re-dispatch (default for weak models), session takeover (last
resort), or resume. The decision is judgment-heavy — wrong defaults burn the
architect-executor split.
Read these first
Before any action:
- Read the briefing from the returned
PhaseResult.briefing. This is your primary input — it containsone_line,current_blocker,what_was_tried, anddiagnostics. - Read the phase doc (resolve
<phase>from the argument) to understand the original spec, its acceptance criteria, and what the executor was attempting. - Read
<repo>/docs/dev/STANDARDS.mdfor context on the engineering contract the executor was held to. - If the briefing references specific turns, query the session log via
executor_log_tail+get_turnMCP tools using the phase'slog_path. - Read any open bug reports in the milestone's
bugs/directory that reference this phase.
The repo root is <repo> — resolve it from CLAUDE_PROJECT_DIR, ANTIGRAVITY_PROJECT_DIR, or the
nearest directory containing the milestone layout.
1. Refuse non-failure results
Check PhaseResult.status:
- If
"complete": this is a review, not an escalation. Point the user at/rexymcp:review <phase>and stop. Escalate is not for clean results. - If
"hard_fail"or"budget_exceeded": proceed to §2. - If
"cancelled": proceed to §2 — a deliberately-stopped run is the clearest resume candidate (its partial work is already on disk). See the Resume lever.
2. Choosing a lever
A hard_fail briefing is a signal: the executor reached the budget, hit a
diagnostic it couldn't resolve, lost track of state, or otherwise stopped
without producing a clean PhaseResult. The escalation question is what
changes so the next attempt succeeds.
On a NoProgressStall, run the project's gates against the partial tree
yourself before picking a lever — build, lint, tests. A stall is usually a
nearly-finished phase: the executor writes most of the work, then loops
re-reading instead of running a gate. The minute of gate-running decides the
lever (if the missing piece is small, resume with the diagnosis; if the
missing piece is the very edit it stalled on, the stall itself is the wall)
and it finds defects nothing else will — the executor stalled before running
any gate, so its partial work is unverified by construction and the briefing
cannot show what's broken in it. Do not treat the stall as evidence the work
is bad; the design is typically right and what's missing is integration.
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.
- 2mo ago First seen · 272 lines · 31 tokens per session scan A a61eaad5d98e
escalate is a skill published in the GitHub repository ryanczak/rexyMCP (85 stars, last pushed 12d ago), licensed MIT. It adds 31 tokens to every session and 3,017 once invoked, about $0.0001 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.
escalate compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| escalateryanczak/rexyMCP | Skill | 85 | 12d ago | MIT | A | 31 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |