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 leewayworks/guochuang-gps --skill innovationgit clone --depth 1 https://github.com/leewayworks/guochuang-gpsWrote 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/leewayworks/guochuang-gps/innovation)<a href="https://agentmods.dev/skills/leewayworks/guochuang-gps/innovation"><img src="https://agentmods.dev/badge/skills/leewayworks/guochuang-gps/innovation/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/leewayworks/guochuang-gps/innovation"><img src="https://agentmods.dev/badge/skills/leewayworks/guochuang-gps/innovation.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 | $0.00026 | $0.00497 |
| Opus 5 | $0.00013 | $0.00249 |
| Sonnet 5 | $0.00005 | $0.00099 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
innovation 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Innovation
Apply the shared policies in gps-common. When saving a Markdown report, use the common project-name rule with topic 创新.
Test four separate questions: what changed, why it is difficult, what improved under which conditions, and what the students themselves contributed. Adding AI, a patent or a new label does not answer them.
Own this work
Own mechanism comparison, prior art, baseline fairness, test design, measured delta, reproducibility and technical limitations. positioning owns the final project advantage and selling-point ranking. Pass it evidence-bounded innovation candidates rather than taking over the whole narrative.
Build an innovation card
For each claim record:
claim_id, innovation_type, prior_art_or_baseline, changed_mechanism, measured_delta, metric_unit, condition, sample_or_repeats, evidence_ids, independent_source, student_role, known_limitation.
Classify an advantage candidate as:
owned: the team controls the mechanism or delivery capability and can explain the evidence;conditional: credible only within stated conditions or maturity;borrowed: mainly supplied by a laboratory, partner, adviser or licensed asset;pseudo: publicity language without a bounded comparison and proof.
Use the validation ladder
- Mechanism: the team can explain what changed.
- Baseline: the comparison is named and fair.
- Measurement: metric, unit, condition, sample and repeats are recorded.
- Use: a real user, field trial or independent party observed the result.
- Transfer: the result survives beyond the selected example.
State the highest level the evidence reaches. A performance result is not itself an innovation; connect it to the changed mechanism and baseline.
Red-team the claim
Check for parameter tuning, borrowed IP, cherry-picked baselines, data leakage, missing controls, unsupported superlatives, weak student ownership and a result that cannot be reproduced. Treat first, internationally leading and similar claims as missing until an independent source defines the comparison scope.
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 · 46 lines · 26 tokens per session scan A 880161626056
innovation is a skill published in the GitHub repository leewayworks/guochuang-gps (6 stars, last pushed 29d ago), licensed MIT. It adds 26 tokens to every session and 497 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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