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 lukasrepublic/agentic-foundry --skill contextgit clone --depth 1 https://github.com/lukasrepublic/agentic-foundryWrote 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/lukasrepublic/agentic-foundry/context)<a href="https://agentmods.dev/skills/lukasrepublic/agentic-foundry/context"><img src="https://agentmods.dev/badge/skills/lukasrepublic/agentic-foundry/context/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/lukasrepublic/agentic-foundry/context"><img src="https://agentmods.dev/badge/skills/lukasrepublic/agentic-foundry/context.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 | $0.00074 | $0.01234 |
| Opus 5.5 | $0.00030 | $0.00494 |
| Sonnet 5.5 | $0.00015 | $0.00247 |
| Haiku 4.5 | $0.00007 | $0.00123 |
Grade A, and why
context 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/foundry:context
The context lifecycle, an additive WRAP layer over native primitives. The four retired context-lifecycle skills fold into one
/foundry:context <action> — each action is a THIN seam over a native primitive,
realizing (extend, don't compete).
| action | native primitive it wraps | foundry delta |
|---|---|---|
snapshot |
/compact (lossy in-session) + --resume (verbatim replay) |
writes a DURABLE, hand-editable distilled arc-state file (§0–§6 schema) that survives session end + 30-day replay retention. Additive to --resume, not a replacement. |
resume |
--resume <id> (verbatim) |
re-grounds a FRESH session from the distilled snapshot's §6 authoritative-artifact pointers (cheaper than verbatim replay; survives expiry). |
list |
— | lists snapshots (the summary: line per file). |
status |
the context sensor | reports context budget / tier. |
The snapshot schema (§0–§6)
The distilled arc-state file has seven short sections, numbered so resumers can cite them: §0 header (session id, date, mandate) · §1 the mandate/goal · §2 decisions taken (with why) · §3 current state (what is done/verified) · §4 open threads + blockers · §5 next steps · §6 authoritative artifact pointers (paths/commits/PRs a successor MUST re-read before trusting the prose — the load-bearing section).
Procedure
snapshot— distill the session arc into the §0–§6 schema file; §6 (authoritative artifact pointers) is load-bearing (a snapshot whose §6 is empty is a defect).resume <id|path>— read the snapshot; re-read its §6 artifacts BEFORE trusting the distilled prose.list/status— read-only.
Relationship to native (do NOT reinvent)
/compact (in-session lossy cost lever), --resume (verbatim replay), /rewind
(within-session rollback) remain authoritative. This skill is the DURABLE,
distilled, cross-session cold-start seam on top of them — additive only.
Mandate handoff
(feat-foundry-session-per-mandate, AC-SPM-3.) Session-per-mandate is the enforced advisory norm: one session per mandate, ended and handed off rather than compacted through. Prior operating-cost retrospective grounding showed this is the largest single cost lever — sessions that snapshot-and-respawn instead of compacting run compaction-free, at a fraction of the cache-read spend of a multi-mandate mega-session.
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 · +2 tokens per session aa0e07fc460f
- 1mo ago First seen · 83 lines · 72 tokens per session scan A f5c4a0fc8d9c
context is a skill published in the GitHub repository lukasrepublic/agentic-foundry (1 stars, last pushed yesterday), licensed MIT. It adds 74 tokens to every session and 1,234 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
g-resume
Re-hydrate a fresh session with the right slice of the durable record. The read-side counterpart to /g-retro — selectively retrieves the relevant retro, ADRs, journal, and handoff keyed by the current branch/milestone/first-task, and assembles a focused re-entry briefing. Loads distilled context into a clean window…
principle-guard-the-context-window
Apply when context is filling up: large outputs, long files, repeated reads, fan-out planning. Route bulk to subagents; keep summaries in the main thread, not raw payloads.
agents-skills-feedback-loop
Adds per-skill learnings loops for dated patterns, mistakes, and domain facts. Use when wiring skill memory, consolidation, or drift audits.
dev-context-multi-repo
Builds multi-repo context hubs and compiled markdown knowledge maps. Use when profiling repo portfolios or assembling LLM-ready cross-repo knowledge bases.
volt-firmware
Produce a complete firmware architecture spec for a described device — layer diagram, module responsibilities, HAL interface definitions, key state machines, RTOS decision. Use when asked to "design firmware architecture", "plan embedded firmware", "architect an IoT device", "how should I structure this firmware", or…
prism-ui
Implement a complete UI screen or feature from a Form visual spec. Use when asked to "build a page", "implement this screen", "build the frontend for this feature", or "create this UI".