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 markoblogo/abvx-agent-skills --skill loop-readiness-reviewgit clone --depth 1 https://github.com/markoblogo/abvx-agent-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/markoblogo/abvx-agent-skills/loop-readiness-review)<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/loop-readiness-review"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/loop-readiness-review/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/markoblogo/abvx-agent-skills/loop-readiness-review"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/loop-readiness-review.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 | $0.00058 | $0.00940 |
| Opus 5 | $0.00029 | $0.00470 |
| Sonnet 5 | $0.00012 | $0.00188 |
| Haiku 4.5 | $0.00006 | $0.00094 |
Grade A, and why
loop-readiness-review 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 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.
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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loop Readiness Review
Use this skill before turning repeated agent work into a scheduled or recurring loop.
Use When
- a workflow may run on a cadence: cron, automation,
/loop, GitHub Actions, or external scheduler; - a runner will open worktrees, inspect CI, triage issues, update changelogs, watch PRs, or sweep dependencies;
- a SET bundle is being handed to a loop-capable orchestrator;
- a report-only loop is being promoted toward auto-fix or PR creation;
- you need to decide whether the loop is L0, L1, L2, or L3 ready.
Readiness Levels
L0: not loop-ready; missing state, verifier, or human gate.L1: report-only; can read, summarize, and propose actions.L2: proposal-first; can create retained output, worktree changes, or draft PRs behind review gates.L3: governed loop; has state, isolation, verifier, budget, run log, rollback/escalation, and human-controlled settlement.
Readiness Checks
Review:
- cadence: trigger, frequency, quiet hours, stop rule;
- state:
STATE.md, run ledger, or other durable memory outside the model; - scope: allowed repos, paths, issues, branches, and denied targets;
- isolation: worktree, branch, sandbox, or retained-output directory;
- skills: triage, implementer, verifier, review lenses, and escalation roles;
- connectors: MCP, GitHub, CI, email, calendar, or other external tools with least privilege;
- verifier: deterministic checks, bounded eval, CI, human review, or maker/checker split;
- budget: token, time, run count, retry, and spend caps;
- run log: what happened, what changed, what failed, and why it stopped;
- human gate: approval boundary for writes, merges, releases, destructive actions, or external side effects;
- rollback: how to discard, revert, close, or pause the loop.
Workflow
- Identify the loop pattern and intended cadence.
- Classify the current readiness level.
- Check the readiness dimensions above.
- List blockers that prevent promotion to the next level.
- Recommend the smallest next step:
- keep report-only;
- add state file or run log;
- add verifier;
- add worktree isolation;
- add budget caps;
- add human gate;
- stop or de-schedule the loop.
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.
- 10d ago First seen · 94 lines · 58 tokens per session scan A f66be5ff24dd
loop-readiness-review is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 940 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.
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