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 blackzhanzhan/Cyber-Ming-Protocol --skill probe-first-scoutgit clone --depth 1 https://github.com/blackzhanzhan/Cyber-Ming-ProtocolWrote 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/blackzhanzhan/cyber-ming-protocol/probe-first-scout)<a href="https://agentmods.dev/skills/blackzhanzhan/cyber-ming-protocol/probe-first-scout"><img src="https://agentmods.dev/badge/skills/blackzhanzhan/cyber-ming-protocol/probe-first-scout/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/blackzhanzhan/cyber-ming-protocol/probe-first-scout"><img src="https://agentmods.dev/badge/skills/blackzhanzhan/cyber-ming-protocol/probe-first-scout.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 | $0.00051 | $0.00730 |
| Opus 5 | $0.00026 | $0.00365 |
| Sonnet 5 | $0.00010 | $0.00146 |
| Haiku 4.5 | $0.00005 | $0.00073 |
Grade A, and why
probe-first-scout 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 10d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Probe-First Scout
Prerequisite: read and obey the repository parent policy at skill/global_rules/SKILL.md first.
Use When
- The task touches an unknown external system, unclear runtime boundary, suspicious integration seam, or hidden environment constraint.
- A full implementation plan would be premature because the first question is still “what is the real failure?”
- You need the smallest possible probe before planning the main campaign.
Goal
- Surface the real red light with minimum blast radius.
- Define the green light that would justify larger implementation planning.
- Hand the result to the planning layer instead of pretending certainty.
Output Contract
Your response must include:
- a short stop-before-main-implementation notice
- a minimal probe plan
- expected red light and expected green light
- explicit no-touch scope
- target artifacts or logs to bring back
- architecture uncertainty or affected architecture nodes, if any
- data-model uncertainty or affected data entities, if any
- an approval gate before writing probe code
Planning Rules
- Prefer the smallest probe that can answer the operational uncertainty.
- Do not let the probe mutate into the real implementation.
- Keep the probe isolated from mainline behavior and broad refactors.
- If the repo has no
dev_repo/runtime yet, make runtime bootstrap an explicit precondition or first micro-slice instead of silently probing without process truth. - If the repo has no
dev_repo/architecture/and the uncertainty is architectural rather than operational, make architecture census the first precondition instead of pretending a small runtime probe can solve it. - If durable data semantics are unknown and the probe may affect persistence, schemas, migrations, runtime state, or API data contracts, make ER/data-model census the first precondition instead of pretending a small runtime probe can solve it.
- If the probe may change architecture boundaries, public interfaces, dependency direction, runtime flow, or invariants, it is not a probe-only task; route to an architecture amendment contract.
- If the probe may change entities, relationships, cardinality, identity, source/derived classification, migration, or backfill semantics, it is not a probe-only task; route to a data-model amendment contract.
- A probe may mark architecture nodes as
unknown, but it must not silently rewritegraph.json,index.json, orinvariants.mdunless the approved probe explicitly owns those files. - A probe may mark data entities or relationships as
unknown, but it must not silently rewriteentities.json,relationships.json,ER.md, orinvariants.mdunless the approved probe explicitly owns those files. - If the user writes imperially, the outer shell may be ceremonial, but the probe plan must remain technically explicit.
- If the user writes in English, use plain English operational language and avoid Chinese-only ritual terms.
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.
- 10d ago First seen · 55 lines · 51 tokens per session scan A f733a756ed25
probe-first-scout is a skill published in the GitHub repository blackzhanzhan/Cyber-Ming-Protocol (56 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 730 once invoked, about $0.0003 per session on Opus 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior — before proposing fixes.
systemic-issue-triage
Trigger: new issue, bug report, triage, backlog, issue flood, community report, root cause, dead-end, blocked user. Attack issues by root class, never one-by-one; fixes must shrink the system, not grow it.
issue-root-resolution
Trigger: root audit, atacar la raíz, issue roots, backlog roots, mechanism map, deletion-driven fix, resolver issues de raíz, close outdated issues. Audit and resolve issue clusters by verified root cause.
rdd-defect-workflow
Trigger: RDD, receipt-driven development, review authority, receipt/lineage, correction/recovery, delivery gate/kill switch, bounded review defects. Guide work.
memstack-development-performance-audit
Use this skill when the user says 'performance audit', 'why is it slow', 'optimize performance', 'page speed', 'Core Web Vitals', 'lighthouse', 'load time', or needs to diagnose and fix frontend or backend performance issues. Do NOT use for code reviews or security audits.
ijfw-debug
Root-cause analysis with hypothesis tracking. Trigger: 'debug', 'broken', 'not working', 'fix this bug', /debug.