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Skills that teach Hermes Agent to write its own analytical prompts
| Date | Stars |
|---|---|
| 2026-07-31 | 352 |
| 2026-08-06 | 352 |
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# Super Hermes **The agent that knows what it can't do.** Super Hermes teaches Hermes Agent to write its own thinking instructions, report what it found AND what it missed, and grow smarter with every analysis. **Vanilla Hermes:** "The session handling is tightly coupled. Consider decoupling." *Names a pattern. Tells you what to change.* **Super Hermes:** "Session state is non-monotonic. No append-only, composable, or lazy architecture can manage it without sacrificing consistency or isolation. **This is a structural impossibility, not a code flaw.**" *Derives WHY the code must be this way. Tells you what you can't change — and what to do instead.* **Plus a constraint report:** "This analysis maximized structural depth. It did not examine temporal degradation or security surfaces. For those: `/prism-reflect`" The difference isn't intelligence — it's cognitive structure: | | Vanilla (same model, same code) | With prism | |---|---|---| | Output | 339 words | 1,485 words | | Finds bugs | 7 (surface checklist) | 11 (with line refs, severity, structural classification) | | Finds structural trade-offs | No | Yes — conservation law derived | | Reports blind spots | No | Yes — constraint footer | | Cost | ~$0.05 | ~$0.05 (same) | *Validated on real open-source codebases: Starlette `routing.py`, Click `core.py`, Tenacity `retry.py`. Those files have since grown — as of 2026-07 upstream `master` they are 747, 3,792 and 293 lines; the scoring runs used the 2026-03 revisions. Full outputs in `examples/`.* *Every bug in the examples has exact line numbers you can verify. The race condition in `circuit_breaker.py` (impure `state` property writing `_state` without lock) is independently reproducible — inspect the code yourself.* --- ## What It Does Before any complex task, Super Hermes **writes its own thinking instructions** — a cognitive prism tailored to the specific problem. Different problems get different prisms. Then it executes the prism and reports both what it found AND what it couldn't see. **Example:** Given a circuit breaker implementation, the agent generated: > *"Identify every temporal assumption in this artifact's state transitions. Simulate concurrent execution that violates each. Construct three alternatives inverting one temporal assumption each. Trace which creates silent statistical failures rather than immediate exceptions."* The agent wrote that. Then it executed it and found a concurrency trilemma — a structural property that persists across ALL possible implementations. --- ## Skills | Skill | What it does | Calls | |---|---|---| | `/prism-scan` | Generate optimal lens for this artifact, execute it, report findings + constraints. Add "focusing on X" to direct the lens. | 1 | | `/prism-full` | Multi-pass pipeline with mandatory adversarial self-correction — later passes attack earlier findings | 1 (multi-pass within single response) | | `/prism-3way` | WHERE/WHEN/WHY — three orthogonal operations + cross-operation synthesis. Works on any domain (code, business, strategy, text). | 1 | | `/prism-discover` | Map every possible analysis domain for an artifact | 1 | | `/prism-reflect` | Self-aware analysis — structural findings + meta-analysis of what the analysis concealed + constraint transparency report | 2-3 | ### Proven Prisms (included in `skills/prism-scan/references/`) 7 battle-tested analytical lenses from the research. They ship inside the `prism-scan` skill so a one-command hub install delivers them too, and both installers also copy them to `~/.hermes/prisms/`. Use directly with Hermes or any tool that supports system prompts: | Prism | What it finds | Validated score | |-------|--------------|-----------------| | `error_resilience.md` | Corruption cascade chains — silent exits, deferred failures, state corruption | 10.0/10 | | `l12.md` | Conservation laws (structural trade-offs that can't be engineered away — like CAP theorem for your code) + meta-laws + concrete bugs | 9.8/10 | | `optimi
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matched fp:ac6a550ce30c58b2, llm:description: 'Skills that teach Hermes Agent to write its own analytical prompts'
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