Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add anombyte93/atlas-session-lifecycle/plugin install atlas-session-lifecycleWrote 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/anombyte93/atlas-session-lifecycle/stepback)<a href="https://agentmods.dev/skills/anombyte93/atlas-session-lifecycle/stepback"><img src="https://agentmods.dev/badge/skills/anombyte93/atlas-session-lifecycle/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/anombyte93/atlas-session-lifecycle/stepback"><img src="https://agentmods.dev/badge/skills/anombyte93/atlas-session-lifecycle/stepback.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 | $0.00055 | $0.01286 |
| Opus 5.5 | $0.00022 | $0.00514 |
| Sonnet 5.5 | $0.00011 | $0.00257 |
| Haiku 4.5 | $0.00006 | $0.00129 |
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 1mo 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stepback - Strategic Reassessment
Core principle: If you've tried 2+ fixes for the same class of problem, you're probably patching symptoms. Stop. Zoom out. Research the architecture.
When to Trigger
digraph stepback {
"Fix attempt failed?" [shape=diamond];
"Is this the 2nd+ attempt?" [shape=diamond];
"Same root system?" [shape=diamond];
"Keep debugging" [shape=box];
"STOP — Run /stepback" [shape=box, style=bold];
"Fix attempt failed?" -> "Is this the 2nd+ attempt?" [label="yes"];
"Fix attempt failed?" -> "Keep debugging" [label="no, first try"];
"Is this the 2nd+ attempt?" -> "Same root system?" [label="yes"];
"Is this the 2nd+ attempt?" -> "Keep debugging" [label="no"];
"Same root system?" -> "STOP — Run /stepback" [label="yes"];
"Same root system?" -> "Keep debugging" [label="different systems"];
}
Symptoms that demand /stepback:
- Same error returns after a "fix"
- Fix A reveals error B reveals error C (cascade)
- Locally it works, deployed it doesn't
- Multiple components broken by the same underlying cause
- Fixes feel like whack-a-mole
Proactive triggers (don't wait for failure):
- Touching deployment config, build pipeline, or infrastructure
- Changing middleware, routing, or auth at the platform level
- Modifying
next.config.js,vercel.json, Dockerfile, CI/CD
Execution
STEP 1 — Stop and Inventory
List every fix attempt so far in this session. For each:
- What symptom it addressed
- Whether it worked or revealed a new symptom
- What assumption it was based on
Present this to the user as a table:
| # | Fix | Symptom | Result | Assumption |
|---|-----|---------|--------|------------|
| 1 | Added route to middleware whitelist | 405 on webhook | Still 405 | Middleware was blocking |
| 2 | Replaced parseBody with manual HMAC | 500 crash | Still 500 | parseBody incompatible |
| 3 | ... | ... | ... | ... |
STEP 2 — Find the Common Thread
Ask: "What system do ALL of these symptoms share?"
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.
- 1mo ago First seen · 135 lines · 55 tokens per session scan A 3246b1a7eee6
stepback is a skill published in the GitHub repository anombyte93/atlas-session-lifecycle (85 stars, last pushed 2mo ago), licensed MIT. It adds 55 tokens to every session and 1,286 once invoked, about $0.0002 per session on Opus 5.5. 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
G2 Legend Expert
Expert skill for G2 legend development - provides comprehensive knowledge about legend rendering implementation, component architecture, layout algorithms, and interaction handling. Use when implementing, customizing, or debugging legend functionality in G2 visualizations.
node-zombie-guardian
Use when diagnosing stale or orphaned Node.js processes launched by VCO, auditing ownership/liveness, or safely simulating cleanup without touching external Node workloads.
sentry
Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require SENTRYAUTHTOKEN.
gh-fix-ci
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use gh to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL.
providing-performance-optimization-advice
Produce a prioritized performance-optimization roadmap across frontend, backend, and infrastructure. Use as an explicit/manual helper after bottlenecks are known or suspected, not as the owner of regression detection, profiling capture, or test execution.
vibe-debug
Diagnose and fix a reproducible failure in an existing project. Use for crashes, broken behavior, or failing checks, not greenfield planning.