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 alonf/specrew --skill specrew-iteration-resumegit clone --depth 1 https://github.com/alonf/specrewWrote 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/alonf/specrew/specrew-iteration-resume)<a href="https://agentmods.dev/skills/alonf/specrew/specrew-iteration-resume"><img src="https://agentmods.dev/badge/skills/alonf/specrew/specrew-iteration-resume.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.01197 |
| Opus 5 | $0.00015 | $0.00598 |
| Sonnet 5 | $0.00006 | $0.00239 |
| Haiku 4.5 | $0.00003 | $0.00120 |
Grade A, and why
specrew-iteration-resume 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 8d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
specrew-iteration-resume
Type: Recovery Skill
Schema: v1
Status: Active recovery method
Purpose
Resumes interrupted iterations by analyzing state.md plus the authoritative task table in plan.md, then suggests the next execution step or active repair escalation.
When to Use
- When an iteration is interrupted (agent crash, user stops work, blocker encountered)
- When resuming work after a break
- When transferring iteration ownership (handoff between agents/humans)
Inputs
| Input | Type | Required | Description |
|---|---|---|---|
| iteration_directory | path | Yes | Path to specs/<feature>/iterations/NNN/ containing state.md and plan.md |
| resume_mode | enum: continue, replan, abort | Yes | How to resume the iteration |
Process
- Parse
state.mdto extract:- Last completed task
- In-progress tasks (started but not done)
- Remaining tasks (not yet started)
- Active repair escalation state, if one is recorded
- Parse
plan.mdto read the authoritative task table and current task statuses. - Reconcile stale or partial
state.mdmetadata against the task table:- Repair missing
Tasks Remaining,In Progress, andUpdatedmetadata when possible - Treat
plannedtasks as remaining work andin-progress/needs-reworktasks as active work - Surface blockers when
state.mdreferences unknown tasks or plan-blocked tasks
- Repair missing
- Determine resumption strategy based on
resume_mode:- continue: Resume the current repair escalation first; after activating or resolving escalation, sync
.squad/config.jsonwithsync-squad-model-overrides.ps1, otherwise resume the current in-progress task or suggest the next incomplete task - replan: Suggest re-planning remaining tasks
- abort: Mark iteration as abandoned, list salvageable tasks
- continue: Resume the current repair escalation first; after activating or resolving escalation, sync
- Generate resume report
- Write the report back into
state.mdwhen the iteration is resumable or intentionally being re-planned/aborted
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.
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.
- 8d ago First seen · 124 lines · 31 tokens per session scan A 2672730ee005
specrew-iteration-resume is a skill published in the GitHub repository alonf/specrew (54 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 1,197 once invoked, about $0.0002 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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