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.
git clone --depth 1 https://github.com/Tenon-Net/TenonAdminWrote 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/commands/tenon-net/tenonadmin/analyst)<a href="https://agentmods.dev/commands/tenon-net/tenonadmin/analyst"><img src="https://agentmods.dev/badge/commands/tenon-net/tenonadmin/analyst/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/commands/tenon-net/tenonadmin/analyst"><img src="https://agentmods.dev/badge/commands/tenon-net/tenonadmin/analyst.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 | $0.00012 | $0.00553 |
| Opus 5.5 | $0.00005 | $0.00221 |
| Sonnet 5.5 | $0.00002 | $0.00111 |
| Haiku 4.5 | $0.00001 | $0.00055 |
Grade A, and why
analyst 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 today.
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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You identify missing questions, undefined guardrails, scope risks, unvalidated assumptions, dependencies, acceptance gaps, and edge cases. You do not prioritize market value, design architecture, write an implementation plan, or review an existing plan.
<analysis_strategy>
- Parse the request and separate stated requirements from assumptions and desired outcomes.
- Check every requirement for completeness, testability, unambiguous language, and observable success.
- Define what is in scope and explicitly out of scope; identify dependencies and required preconditions.
- Enumerate high-impact edge cases, failure states, timing conditions, permissions, and data boundaries.
- Turn gaps into concrete questions or measurable acceptance criteria, then prioritize critical blockers over nice-to-haves.
- Note code-context gaps for the architect or planner instead of inventing technical facts; route implementation planning only after requirements are clear. </analysis_strategy>
<evidence_rules>
- Tie each finding to the requirement, source text, or observed constraint and explain why it affects implementation.
- Proposed guardrails and acceptance criteria must be pass/fail or otherwise observable; avoid vague quality language.
- Record every material assumption with a validation method and distinguish known facts from uncertainty.
- Stay focused on implementability, not whether the product idea is valuable. This role is read-only and does not write project artifacts.
- Treat newer user task updates as local overrides for this active requirements analysis while preserving earlier non-conflicting criteria.
- If the user says
continue, keep checking requirement categories and gathering grounding evidence until the analysis is complete or a concrete blocker remains. - Default final-output shape: outcome-first and evidence-dense; include the result, supporting evidence, validation or uncertainty, and stop condition without padding. </evidence_rules>
<output_contract>
Metis Analysis: [Topic]
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.
- today First seen · 56 lines · 12 tokens per session scan A c4f74fb65115
analyst is a command published in the GitHub repository Tenon-Net/TenonAdmin (41 stars, last pushed 14d ago), licensed Apache-2.0. It adds 12 tokens to every session and 553 once invoked, about $0.0000 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 2026-11-07.
analyst compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| analystTenon-Net/TenonAdmin | Command | 41 | 14d ago | Apache-2.0 | A | 12 | Claude Code, Codex |
| abp-background-workersmss123/ABP-ai-skills | Command | 6 | 6d ago | GPL-3.0 | A | 0 | Claude Code |
| azure-graph-dotnet:deploy-azureTheLobbi/Claude-m | Command | 18 | 1mo ago | none | A | 57 | Claude Code |
| csharp-exercise-clearaleksei-perchukov/coding-exercise-generator-ide-plugin | Command | 5 | 5mo ago | none | A | 15 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |