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 allemaar/open-skills --skill insight-assessgit clone --depth 1 https://github.com/allemaar/open-skillsWrote 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/allemaar/open-skills/insight-assess)<a href="https://agentmods.dev/skills/allemaar/open-skills/insight-assess"><img src="https://agentmods.dev/badge/skills/allemaar/open-skills/insight-assess/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/allemaar/open-skills/insight-assess"><img src="https://agentmods.dev/badge/skills/allemaar/open-skills/insight-assess.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 | $0.00081 | $0.01167 |
| Opus 5 | $0.00041 | $0.00583 |
| Sonnet 5 | $0.00016 | $0.00233 |
| Haiku 4.5 | $0.00008 | $0.00117 |
Grade A, and why
insight-assess 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 12d 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/assess
Structured evaluation of an approach, decision, or implementation — assess viability across multiple dimensions and deliver a clear recommendation.
Structured execution spec:
protocol.yon. Read it for the canonical rules and step sequence; this file is explanation. The two must stay in sync — if you edit one, update the other and refresh the@STAMPdate.
Decision Support Protocol — convergent evaluation.
/insight-exploregenerates alternatives (divergent)./insight-assessevaluates them (convergent)./insight-critiquereviews outputs (reactive). Three complementary tools.
Phase 1 — Frame the Decision
Identify what is being assessed: a specific approach, a decision between options, an implementation pattern, or an architectural direction.
Load relevant context — files, docs, KIs, skills. Define what we are optimizing for and the constraints.
Gate: cannot assess without a clear subject. If the decision cannot be framed, ask for clarification before proceeding.
Phase 2 — Dimensional Analysis
Evaluate across all relevant dimensions. Skip dimensions that don't apply.
Pros & cons — concrete advantages and disadvantages. Cite actual code, dependencies, or patterns. No vague generalizations. If comparing multiple options, do side-by-side.
Quality assessment — score STRONG / ADEQUATE / WEAK with justification on:
- Performance — bundle size, runtime overhead, N+1 queries, render cycles
- Code quality — DRY violations, coupling, testability, readability
- Developer experience — API ergonomics, debugging ease, onboarding friction
- Maintainability — upgrade path, community support, lock-in risk
Impact assessment — map and classify overall impact LOW / MEDIUM / HIGH:
- Blast radius — packages/apps/files
- Migration effort — if replacing something
- Breaking changes — if any
- Learning curve — for the team
- Future flexibility — does this open or close doors?
What ships with it
1 file 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.
- 12d ago First seen · 102 lines · 81 tokens per session scan A f60e24f49cae
insight-assess is a skill published in the GitHub repository allemaar/open-skills (14 stars, last pushed yesterday), licensed Apache-2.0. It adds 81 tokens to every session and 1,167 once invoked, about $0.0004 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.
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