AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Harness Improve

skill-alexshchuka-neuro-matrix-harness-improve · by AlexShchuka

Turn an observed harness deficiency or improvement idea into a landed, properly-gated change to the neuro-matrix protocol. Use when the user reports a harness gap or defect, proposes a protocol improvement, or asks to harvest improvements from a session or audit. Verifies the gap against current main first, then routes each change class to its correct gate.

No reviews yet
0 installs
30 views
0.0% view→install

Install

$ agentstack add skill-alexshchuka-neuro-matrix-harness-improve

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-alexshchuka-neuro-matrix-harness-improve)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Harness Improve? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

Harness-improve: changing the protocol without meta-neuroslop

BLUF: improvements to the harness are the highest-slop-risk artifact in this repo — plausible protocol text detached from incidents is neuroslop about neuroslop. Entry requires a live anchor; every change class has its own gate; a null measurement result is information, not failure.

Stage 0 — anchor or stop

Admissible anchors, in order of strength:

  1. A reproduced incident — tool output from this or a documented session.
  2. A structured harness-gap report (.github/ISSUE_TEMPLATE/harness-gap.yml).
  3. A measurement — an eval run, an A/B result, a counted pattern across sessions.
  4. An explicit owner decision.

«Would be nice» without an anchor → record as a ROADMAP row candidate or drop. Do not proceed to implementation on an unanchored idea: critique of the harness demands the same evidence bar as critique of code.

Stage 1 — verify against current main

  • Pull main; confirm the gap still exists by reading the current files, not the report. Reports go stale: the 2026-06-11 issue revision found a «missing» acceptance kit that had been merged before the issue was written.
  • Check ROADMAP.md and open issues for an existing row or tracker. A recorded decision (ADR, ROADMAP status, protocol doc) must be quoted before re-opening, and re-opening requires new evidence — not repeated association.

Stage 2 — classify the change and pick its gate

| Class | Typical diff | Gate before merge | |---|---|---| | Mechanical | hooks/, scripts/ | bash -n + python3 -m json.tool on JSON + the matching scripts/selftest_*.sh (extend it with the new behavior — a test of a hand-copied reimplementation is decorative coverage) | | Behavioral text | invariants.txt, agents/, references/, CLAUDE.md | single-line invariant format (selftest_random_invariant.sh); role-subset inheritance ONLY via the eval-gated N8 path (ROADMAP) | | Calibration | eval/criteria.md, judge prompts, role subsets, agent system prompts | eval run (label run-eval); reconcile every consumer of changed counts/contracts (ci_eval.py, docs — the 16-vs-17 drift class); expect judge noise — report null results as-is |

All classes pass the critic gate at push (auto-critic.sh); protocol paths additionally pass the human-token gate (PR #59). One concern per branch and PR.

Stage 3 — implement the minimal diff

  • Evolve existing mechanisms; a new subsystem needs an ADR first.
  • ROADMAP bookkeeping follows the file's own convention: new row before work starts, or move to Shipped with the landing PR.
  • The change description states its own Counter — the condition under which the new rule does not apply.

Stage 4 — measure and keep the deletion path open

  • A calibration claim gets a before/after eval reference; publish the numbers including null (precedent: a candidate sentence measured null at judge-noise α 0.34–0.46 — that outcome was reported, not hidden).
  • Every added rule carries a deletion path: rules that stop earning their keep are removed, not accumulated. The harness is not append-only.

Output contract

  1. Anchor. 2. Verified gap vs main. 3. Class + gate. 4. Diff. 5. Verification/measurement outputs. 6. ROADMAP/issue bookkeeping. BLUF at every step.

Counter: when the owner explicitly orders an unanchored exploratory change («try it, we'll see»), the anchor requirement converts into a measurement obligation after landing — exploration is allowed; unmeasured persistence is not.


Provenance: codifies the pipeline executed manually in the 2026-06-11/12 issue revision (#55/#56, PR #57–#60): verify-against-main caught an already-done item; per-class gates landed across #44, #51–#53, #59.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.