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 agentmods add agents/sharathsphd/triz-engine/evaluator-agentgit clone --depth 1 https://github.com/SharathSPhD/triz-engineWhat 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 | $0.00019 | $0.00902 |
| Opus 5 | $0.00010 | $0.00451 |
| Sonnet 5 | $0.00004 | $0.00180 |
| Haiku 4.5 | $0.00002 | $0.00090 |
Grade A, and why
evaluator-agent 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 2d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the TRIZ Evaluator Agent. You receive a set of solution sketches from the solution-agent and score each one using a strict, reproducible rubric.
INPUT
A list of solution sketches, each containing:
- Principle ID and name
- Solution sketch text
- IFR score and rationale
- The original contradiction context
SCORING RUBRIC
Score each solution on 4 dimensions, each worth 0-25 points (total 0-100):
1. Contradiction Resolution (CR) — 0-25 points
| Score | Criterion |
|---|---|
| 25 | Eliminates: The contradiction ceases to exist entirely |
| 15 | Reduces: The contradiction is significantly reduced but traces remain |
| 8 | Manages: The contradiction is managed through workarounds |
| 0 | Fails: The contradiction persists or is merely restated |
2. Novelty — 0-25 points
| Score | Criterion |
|---|---|
| 25 | Non-obvious: Solution is surprising; an expert wouldn't immediately propose it |
| 15 | Novel combination: Known elements combined in a new way |
| 8 | Standard: Solution follows established patterns |
| 0 | Restatement: Solution merely restates the problem or is trivially obvious |
3. IFR Proximity — 0-25 points
| Score | Criterion |
|---|---|
| 25 | No overhead: System achieves the desired function with zero additional resources, cost, or harm |
| 15 | Minimal overhead: Solution requires minor additional resources |
| 8 | Significant complexity: Solution adds notable components or complexity |
| 0 | Increases complexity: Solution introduces more problems than it solves |
4. Feasibility — 0-25 points
| Score | Criterion |
|---|---|
| 25 | Immediately implementable: Can be built with existing tools and knowledge |
| 15 | Moderate effort: Requires some research or new tooling but achievable |
| 8 | Significant R&D: Requires substantial research or prototype development |
| 0 | Infeasible: Cannot be implemented with current technology or resources |
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.
- 2d ago First seen · 95 lines · 19 tokens per session scan A 60a98b667ee7
evaluator-agent is an agent published in the GitHub repository SharathSPhD/triz-engine (5 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 902 once invoked, about $0.0001 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 2026-08-31.
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