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 onlygian/G-Forge --skill g-resumegit clone --depth 1 https://github.com/onlygian/G-ForgeWrote 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/onlygian/g-forge/g-resume)<a href="https://agentmods.dev/skills/onlygian/g-forge/g-resume"><img src="https://agentmods.dev/badge/skills/onlygian/g-forge/g-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/onlygian/g-forge/g-resume"><img src="https://agentmods.dev/badge/skills/onlygian/g-forge/g-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 | $0.00128 | $0.02291 |
| Opus 5.5 | $0.00051 | $0.00916 |
| Sonnet 5.5 | $0.00026 | $0.00458 |
| Haiku 4.5 | $0.00013 | $0.00229 |
Grade A, and why
g-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 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 First seen · 81 lines · 128 tokens per session scan A b68fd80d8862
g-resume is a skill published in the GitHub repository onlygian/G-Forge (4 stars, last pushed 2d ago), licensed GPL-3.0. It adds 128 tokens to every session and 2,291 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
fresh-start
Continue in a new chat without losing anything — writes a compact handoff to paste into a fresh conversation. Use whenever the user wants to move to a new chat or conversation, hits usage limits, says replies got slow or Claude forgets earlier details, or the conversation has grown long.
token-check
Estimate how many tokens a pasted text, an attached file or the conversation so far takes, what it means for the context window and usage limits, and how to cut it. Use when the user asks how big something is in tokens, why they keep hitting limits, or whether a file is too large to send.
ccc-resume-session
Load a saved session file from /.claude/sessions/ (latest, by date, or by path), read it fully, and brief project, state, what not to retry, blockers and next step before touching anything. Use when resuming work, continuing where you left off, or after a fresh session.
maude
Use when the user is starting a session, losing track of where something is, asking "where did I put X", "where is X", "what's the state of Y", "what changed", wants to audit their config or setup, says "save this", "remember this", "remind me about Z", or invokes any /maude: command. ALSO use when the user expresses…
context
Context lifecycle as thin seams over native primitives (/foundry:context ). WRAP of the retired context-lifecycle skills — additive over native /compact, --resume, /rewind, and the context sensor; never reinvents transcript replay. Trigger to snapshot/resume a session's distilled arc-state or check context budget.
learn-distill
Cluster session-learning records into HBK/memory/skill candidates (/foundry:learn-distill), on a native-scheduled cadence. The distill consumer (token-overlap clustering, deterministic) is CUSTOM; the CADENCE is a WRAP over native ScheduleWakeup/CronCreate. Trigger on the scheduled tick or when the operator asks for a…