analyze-feedback-stability

A method for assessing whether a feedback or control loop remains stable at a specific operating point. It uses simulation evidence and measured gain, phase, crossover, and stability margins.

In plain words
What is it for?
Use it to examine differential, common-mode, nested, feed-forward, regulator, or switched feedback-loop stability.
Why use it?
It prevents stability conclusions from being based on the wrong test setup, loop location, or measurements. The result is limited to the circuit, models, and evidence actually provided.

Skill for Claude CodeCodex

Part of the openada plugin — 11 skills shipped together

Install

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.

agentmods
npx agentmods add skills/simra-tech/openada/analyze-feedback-stability
Any agent
npx skills add simra-tech/OpenADA --skill analyze-feedback-stability
Clone the repo
git clone --depth 1 https://github.com/simra-tech/OpenADA

Made for: Claude Code, Codex.

Or install openada, the plugin that ships this one along with the rest of its 11 skills.

Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,720 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00078 $0.01720
Opus 5 $0.00039 $0.00860
Sonnet 5 $0.00016 $0.00344
Haiku 4.5 $0.00008 $0.00172

Measured 3d ago against content hash 85eb1553f1ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

analyze-feedback-stability 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 3d 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.

skills/analyze-feedback-stability/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyze Feedback Stability

Produce an evidence-bounded diagnosis, not a universal compensation recipe. Use $openada:openada to invoke semantic operations and interpret results. Keep the topology, prepared testbench, PDK/models, and native artifacts authoritative.

Separate the claims

Use these exact layers:

  • Establish analysis evidence with openada.operation/circuit.simulate/v1alpha2 and openada.assertion/simulation.evidence.valid/v1alpha1.
  • Bind the exact native AC Cartesian vectors through openada.operation/result.series.extract/v1alpha1 and openada.assertion/series.extraction.valid/v1alpha1.
  • Derive the implemented loop metrics only through openada.operation/result.transfer.measure/v1alpha2 and openada.assertion/transfer.measurement.valid/v1alpha1.
  • Derive ordinary time-domain or real-series scalars only through openada.operation/result.measure/v1alpha2 and openada.assertion/measurement.valid/v1alpha1.
  • Judge an explicit stability limit only through openada.operation/specification.evaluate/v1alpha1 and openada.assertion/specification.satisfied/v1alpha1.

Inspect capability records, then run openada profile show openada.operation/result.transfer.measure/v1alpha2 before constructing a request. Do not invent a metric kind or fall back to a backend expression when the requested result.transfer.measure metric kind is not supported. Mark that metric not evaluated. None of these layers alone establishes silicon, reliability, or signoff.

Freeze one baseline

Record:

  • authoritative design/testbench identity and design phase;
  • supply, bias, common mode, differential stimulus, load, corner, temperature, and operating mode;
  • enabled paths, stages, switches, feedback elements, and intended loop state;
  • exact loop break or injection point, direction/sign convention, return probe, loop-response signals, and requested closed-loop probes;
  • selected operation/feature, driver, native product/version, request/result IDs, and evidence destination.

Read the full file on GitHub · 167 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 3d ago First seen · 167 lines · 78 tokens per session scan A 85eb1553f1ad

Subscribe to this mod's changes

analyze-feedback-stability is a skill published in the GitHub repository simra-tech/OpenADA (24 stars, last pushed 21d ago), licensed MIT. It adds 78 tokens to every session and 1,720 once invoked, about $0.0004 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 2026-08-30.

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