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 mostafa-drz/claude-skills --skill step-throughgit clone --depth 1 https://github.com/mostafa-drz/claude-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/mostafa-drz/claude-skills/step-through)<a href="https://agentmods.dev/skills/mostafa-drz/claude-skills/step-through"><img src="https://agentmods.dev/badge/skills/mostafa-drz/claude-skills/step-through/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/mostafa-drz/claude-skills/step-through"><img src="https://agentmods.dev/badge/skills/mostafa-drz/claude-skills/step-through.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 | $0.00004 | $0.03947 |
| Opus 5 | $0.00002 | $0.01973 |
| Sonnet 5 | $0.00001 | $0.00789 |
| Haiku 4.5 | $0.00000 | $0.00395 |
Grade B, and why
step-through scanned grade B with 1 finding 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 10d 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
7. **Learn quietly.** Promote a rule only after 3+ consistent feedback signals. Mention once when promoting, never lecture. Demote unstable rules instead of accumulating clutter. How it starts
The opening of the file, as written. The whole thing — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/step-through
Take a long enumerated response and walk through it interactively, one item at a time, with a decision per item — and learn the user's per-severity habits over sessions.
Preferences
On startup, use the Read tool to load ~/.claude/skills/step-through/preferences.md. If missing, treat as first-run (see First-time detection below).
Defaults when no preferences exist:
- default-depth:
concise— one paragraph plus 1–2 references on dive deeper - show-outline:
yes— print the outline before starting - persist-session-log:
yes— append decisions tosessions/<date>.md - auto-pick-source:
most-recent— most recent enumerated assistant message - action-confirmation:
destructive-only— confirm before file deletes / branch ops / pushes / external posts; everything else proceeds - resume-on-stop:
yes— when a session is stopped mid-way, save resume state so the next invocation can pick up where it left off - per-severity-defaults: none yet (filled by Learned over time)
Context
Do NOT pre-load anything on startup. The skill works against the current conversation's recent assistant messages. Run Bash/Read only when the user picks "dive deeper" or "take action" on a specific item — at that point, fetch only what's needed for that item.
Command routing
Check $ARGUMENTS:
help→ display help, then stopconfig→ interactive setup, then stopreset→ delete~/.claude/skills/step-through/preferences.mdANDfeedback-journal.mdANDsessions/, confirm, stopfeedback→ collect thumbs-up/down on the most recent walkthrough (see Feedback & learning), stopresume→ continue the most recent stopped walkthrough using saved resume state, stop if none- anything else (including empty) → run the skill
Help
/step-through — Walk through a long enumerated response item-by-item
Usage:
/step-through Walk through the most recent enumerated response
/step-through --filter blockers Only walk through items in that section/severity
/step-through --start 3 Resume from item N
/step-through --from "<hint>" Pick a different message by short description
/step-through resume Continue the most recent stopped walkthrough
/step-through feedback Rate the last walkthrough (improves future defaults)
/step-through config Set preferences
/step-through reset Clear preferences + feedback journal + sessions
/step-through help This help
Per-item options:
Dive deeper Pull code / docs / context to better understand
Take action Edit, run, research, or fix right now
Note & defer Capture decision (e.g. "address with AIS-XXXX"), move on
Skip Drop without action
Stop End the walkthrough, summarise
Examples:
/step-through After a long PR review
/step-through --filter blockers Only critical items
/step-through --start 7 Resume mid-list
Current preferences:
(loaded from ~/.claude/skills/step-through/preferences.md)
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.
- 10d ago First seen · 336 lines · 0 tokens per session scan B 77333bd74c90
step-through is a skill published in the GitHub repository mostafa-drz/claude-skills (4 stars, last pushed 27d ago), licensed MIT. It adds 4 tokens to every session and 3,947 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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