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 Eliyce/paqad-ai --skill session-resumegit clone --depth 1 https://github.com/Eliyce/paqad-aiWrote 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/eliyce/paqad-ai/session-resume)<a href="https://agentmods.dev/skills/eliyce/paqad-ai/session-resume"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/session-resume/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/eliyce/paqad-ai/session-resume"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/session-resume.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 | $0.00015 | $0.00576 |
| Opus 5 | $0.00008 | $0.00288 |
| Sonnet 5 | $0.00003 | $0.00115 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
session-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 12d 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.
What it actually says
What It Does
Rebuilds the minimum viable working context after compaction by reading the preserved handoff and the canonical project identity artifacts instead of rescanning .paqad/ manually.
Use This When
Use this immediately after a context compaction or when a resumed session needs the current lane, stack, warnings, and key references without spending tokens rediscovering them.
Inputs
- Read the preserved handoff at
handoff_path. - Read the canonical project metadata at
onboarding_manifest_pathandproject_profile_path. - Read
references/resume-template.mdbefore composing the reconstructed state.
Procedure
- Run
scripts/load-resume-bundle.sh— it reads handoff.md, project-profile.yaml, and onboarding-manifest.json into one stream, exit 1 when any is missing. - Reconcile any conflict between handoff and project metadata; preserve uncertainty explicitly rather than picking arbitrarily.
- Surface only facts needed to safely continue work: phase, objective, blockers, canonical references.
- Format per
assets/output.template.md; validate withscripts/lint-output.sh.
Output Contract
- Match
assets/output.template.md:## Session State,## Project Context,## Resume Targets. - Resume Targets must list backticked file paths only — no inferred next steps.
- Output must pass
scripts/lint-output.sh(exit 0).
Escalate / Stop Conditions
- Ask when any required handoff or project metadata file is missing.
- Warn when the handoff conflicts with the stored project profile or onboarding manifest.
- Do not infer new workstreams beyond what the handoff and canonical metadata already establish.
Resources
references/resume-template.mdscripts/load-resume-bundle.shscripts/lint-output.shassets/output.template.md.paqad/session/handoff.mdagents/openai.yaml
What ships with it
5 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.
- 12d ago First seen · 72 lines · 15 tokens per session scan A 724567459753
session-resume is a skill published in the GitHub repository Eliyce/paqad-ai (8 stars, last pushed today), licensed MIT. It adds 15 tokens to every session and 576 once invoked, about $0.0001 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 2026-08-31.
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