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 AlexZio00/sovereign-skills --skill stepbackgit clone --depth 1 https://github.com/AlexZio00/sovereign-skillsWrote 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/alexzio00/sovereign-skills/stepback)<a href="https://agentmods.dev/skills/alexzio00/sovereign-skills/stepback"><img src="https://agentmods.dev/badge/skills/alexzio00/sovereign-skills/stepback/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/alexzio00/sovereign-skills/stepback"><img src="https://agentmods.dev/badge/skills/alexzio00/sovereign-skills/stepback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.01761 |
| Opus 5 | $0.00026 | $0.00881 |
| Sonnet 5 | $0.00010 | $0.00352 |
| Haiku 4.5 | $0.00005 | $0.00176 |
Grade A, and why
stepback 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.
How it starts
The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/stepback — One-Shot Perspective Reset
Source: team-attention/hoyeon pattern. Read-only, zero side effects.
Purpose
Scan the current work context, generate 1 abstract reframing question + 3 quick checks (scope drift, side effects, better approach) in under 10 lines. No dialogue, no code, no agents.
Use when you're deep in implementation and need to check if you're solving the right problem at the right level.
Dominant Variable
Whether the work direction is solving the right problem at the right level — if this is off, even flawless implementation produces the wrong outcome.
Key Assumptions
- Current work context exists in the conversation — if broken: ask once, "tell me in one line what you're doing."
- Output fits an abstraction level expressible in ≤10 lines — if broken: the question is too concrete → self-check "go more abstract."
Trigger
/stepback- "step back"
- "zoom out"
- "blind spot"
- "am I on track"
- "big picture"
- "what am I even doing"
Discard If
- Work is already completed (use retrospective tools instead)
- Code review requested (use code review tools instead)
- Specific change impact analysis needed (use scope definition tools instead)
Architecture
Recent conversation context (current work direction)
↓
[PARSE] → Extract current direction + original intent + scope signals
↓
[STEP-BACK] → Generate 1 abstract reframing question
↓
[CHECK] → Run 3 checks
↓
[OUTPUT] → Under 10 lines, return immediately
Stage 1: PARSE
Extract from recent conversation:
- Current direction — what the user is actively working on
- Original intent — why this work was started (implicit is OK)
- Scope signals — size/complexity of the change
Stage 2: STEP-BACK
DeepMind step-back pattern: abstract from the specific subject of current work → the general principle/system it belongs to.
| Current Work | Step-Back Question |
|---|---|
| "Fixing this null pointer bug" | "Is the error handling strategy of this module correct in the first place?" |
| "Adding a new API endpoint" | "Should this feature live in the API layer, or somewhere else?" |
| "Refactoring this function" | "Should this function exist at all, or is the caller the real problem?" |
| "Writing tests for module X" | "Is X's boundary designed in a testable way?" |
| "Optimizing this query" | "Should this query be called at this point at all?" |
What ships with it
2 files 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.
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.
- 3d ago Changed efe9b16a0065
- 11d ago First seen · 218 lines · 51 tokens per session scan A c0316e1f29fd
stepback is a skill published in the GitHub repository AlexZio00/sovereign-skills (128 stars, last pushed 4d ago), licensed MIT. It adds 51 tokens to every session and 1,761 once invoked, about $0.0003 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.
Other skills, from other repositories
nobrainer-review
Use when the owner says nb-review, deep-audit, deep-code-review, or deep-autoreview; explicitly requests an evidence-gated CLOSEOUT, adversarial BUGHUNT or RELEASEGATE; or needs final findings filtered to verified actionable defects. Use nobrainer-build for ordinary implementation and correction work.
analyze-project
Forensic root cause analyzer for Antigravity sessions. Classifies scope deltas, rework patterns, root causes, hotspots, and auto-improves prompts/health.
sdd-tasks
Break an SDD change into implementation tasks. Trigger: orchestrator launches task planning for a change.
review-work
Post-implementation gate review: run manual QA on the real surface yourself, then launch ONE gate reviewer (never a panel) to audit goal, constraints, code quality, security, missed context, and QA evidence. Use before a PR handoff or when the user explicitly asks to review completed work.
ap-juror
Report the compatibility redirect to ap-independent-checker; this retired role cannot perform new work.
ijfw-cross-audit
Generate a cross-platform multi-model audit (Trident) on a diff, brief, or artifact. Trigger: 'cross audit', 'Trident', 'second opinion', 'check with other models', 'check with other AIs', 'cross-check this', 'get another perspective', /cross-audit.