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 pantheon-org/tekhne --skill tech-evaluationgit clone --depth 1 https://github.com/pantheon-org/tekhneWrote 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/pantheon-org/tekhne/tech-evaluation)<a href="https://agentmods.dev/skills/pantheon-org/tekhne/tech-evaluation"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/tech-evaluation/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/pantheon-org/tekhne/tech-evaluation"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/tech-evaluation.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 120 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00193 | $0.01908 |
| Opus 5 | $0.00097 | $0.00954 |
| Sonnet 5 | $0.00039 | $0.00382 |
| Haiku 4.5 | $0.00019 | $0.00191 |
Grade A, and why
tech-evaluation 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 9d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tech Evaluation
Investigate a candidate library, dependency, or file format against a fixed question set, and end with exactly one verifiable recommendation -- never "it depends." A production decision recorded without cited evidence is a guess, not a finding; this skill exists to close that gap. Produces a schema-validated structured record plus a human-readable write-up in the project's dated findings directory (see Finding Record Layout for the exact path and shape).
Prerequisites
- A concrete technology to evaluate (an npm package, a file format, a spec) and, ideally, the alternatives already ruled out or being compared against.
- This skill REQUIRES the
create-context-fileskill to persist the human-readable finding, and thecontext-indexskill to regenerate the index afterwards -- do not run this evaluation if neither is available in the current environment. - A subagent capable of both web research and reading this repository's own source (to check integration/bundling fit against real code, not just documentation).
Mindset
A verdict without a cited source is a guess, not a finding -- the schema enforces at least one piece of evidence
per question for exactly this reason. needs_more_research is a legitimate recommendation when the evidence is
genuinely inconclusive, but it MUST NEVER be used to avoid picking a side when the evidence already points one
way. One recommendation, not a comparison table with no conclusion: the point of this skill is to convert
"it depends" into a decision someone can act on in production.
When to Use
- Choosing between candidate crates/dependencies for a specific integration point (e.g. a CLI-parser
decision such as
usage/usage-rsvs.clap, recorded in a dated plan under.context/plans/). - A plan or ADR decision hinges on a factual claim about a library that keeps getting revisited because nobody wrote the answer down with evidence.
- The user explicitly asks to "investigate," "research," or "properly evaluate" a technology option mid-decision.
What ships with it
19 files 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.
- assets/schemas/tech-evaluation.schema.json 4.3 KB
- assets/templates/tech-evaluation-scaffold.yaml 2.2 KB
- evals/instructions.json 3.4 KB
- evals/scenario-01/capability.txt 167 B
- evals/scenario-01/criteria.json 1.7 KB
- evals/scenario-01/task.md 2.4 KB
- evals/scenario-02/capability.txt 150 B
- evals/scenario-02/criteria.json 1.1 KB
- evals/scenario-02/task.md 1.9 KB
- evals/scenario-03/capability.txt 159 B
- evals/scenario-03/criteria.json 1.2 KB
- evals/scenario-03/task.md 1.7 KB
- evals/scenario-04/capability.txt 150 B
- evals/scenario-04/criteria.json 1.3 KB
- evals/scenario-04/task.md 1.9 KB
- evals/summary.json 107 B
- references/finding-record-layout.md 1.8 KB
- references/question-dimensions.md 2.6 KB
- scripts/validate-tech-evaluation.sh 3.7 KB runs code
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.
- 9d ago First seen · 139 lines · 193 tokens per session scan A fb1d4ee763ad
tech-evaluation is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed yesterday), licensed MIT. It adds 193 tokens to every session and 1,908 once invoked, about $0.0010 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 2026-09-03.
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