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 fledgeling-co/fledgeling-plugins/plugin install resume-sessionWrote 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/fledgeling-co/fledgeling-plugins/resume-session)<a href="https://agentmods.dev/skills/fledgeling-co/fledgeling-plugins/resume-session"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/resume-session/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/fledgeling-co/fledgeling-plugins/resume-session"><img src="https://agentmods.dev/badge/skills/fledgeling-co/fledgeling-plugins/resume-session.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 | $0.00099 | $0.02432 |
| Opus 5.5 | $0.00040 | $0.00973 |
| Sonnet 5.5 | $0.00020 | $0.00486 |
| Haiku 4.5 | $0.00010 | $0.00243 |
Grade A, and why
resume-session 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
resume-session:resume-session
The multi-model takeover skill for agentic coding.
When an AI model hits its usage limit (e.g. a 503 reserve limit, a 429 rate limit, token exhaustion, or quota cap on Claude Opus 5), you switch to another model or CLI — Antigravity (AGY), Codex, Cursor, Grok, or Claude Sonnet — to keep working.
Without this skill, the new agent starts blind: it burns context re-reading already-modified files, re-asking questions already answered, and re-writing plans.
resume-session:resume-session discovers past sessions across all major agent CLIs, parses their exact transcripts on disk, extracts the 6-dimensional takeover state, and produces an actionable continuity handover so the new model continues execution immediately without lost context or redundant discovery.
Running as a Gemini model? Read gemini.md in this directory first, then follow this file with the overrides it names. Gives the 6 dimensions and 6 CLI platforms countable denominators, adds provenance to every briefing row the generator defaults or templates, and pivots off a transcript that blows the read ceiling on the first failure rather than the fourth. Other models skip it.
The 6-Dimensional Takeover State
Every resumed session is distilled into six concrete dimensions:
| Dimension | Extracted Data | Why It Matters |
|---|---|---|
| 1. Session Identity & Provenance | Session UUID, CLI platform, model used, branch, last active timestamp | Anchors the session to the exact commit and tool chain |
| 2. Initial Goal & Intent | Verbatim initial user prompt, objective spec, referenced task IDs | Prevents goal drift and scope expansion |
| 3. Terminal State & Last Context | Exact halting error (429, 503, tool crash, compaction), last assistant response | Explains why the previous agent stopped |
| 4. Modified Files & Artifacts | List of created, edited, and deleted files, plus read artifacts | Prevents duplicate edits and tracks active surfaces |
| 5. Technical Config & Keys | Apple Team IDs, Bundle IDs, OAuth client IDs, ports, env vars | Eliminates config re-discovery and secret recreation |
| 6. Immediate Next Steps | Actionable checklist of pending tasks and verification gates | Zero-delay continuation into active implementation |
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.
- 1mo ago Changed a9f81437bde6
- 1mo ago First seen · 190 lines · 99 tokens per session scan A 265deae70852
resume-session is a skill published in the GitHub repository fledgeling-co/fledgeling-plugins (2 stars, last pushed 4d ago), licensed MIT. It adds 99 tokens to every session and 2,432 once invoked, about $0.0004 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 2026-09-04.
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