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 agentmods add skills/igovet/codex-cortex-orchestrator/context-compactionnpx skills add igovet/codex-cortex-orchestrator --skill context-compactiongit clone --depth 1 https://github.com/igovet/codex-cortex-orchestratorWrote 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/igovet/codex-cortex-orchestrator/context-compaction)<a href="https://agentmods.dev/skills/igovet/codex-cortex-orchestrator/context-compaction"><img src="https://agentmods.dev/badge/skills/igovet/codex-cortex-orchestrator/context-compaction.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.01044 |
| Opus 5 | $0.00016 | $0.00522 |
| Sonnet 5 | $0.00006 | $0.00209 |
| Haiku 4.5 | $0.00003 | $0.00104 |
Grade A, and why
context-compaction 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 3d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Durable Context Recovery
Do not preserve raw transcripts by default. A bounded handoff should retain the current outcome and acceptance criteria, verified project facts and source references, material decisions, changed files, decisive checks, open user questions, and the next evidence-backed action. Never include secrets, credentials, personal data, private logs, or raw tool streams.
For an active Cortex task, preserve the mandatory server-issued task anchor for ledger recovery, plus the absolute project root, governance mode, applicable knowledge paths and constraints, exact task/result contract, current plan/publication digest, and known initiative, assignment, evidence, and decision relations. Preserve each decision's subject, digest, supersession, and effect on the orchestration DAG revision. Preserve incomplete publication assembly state, continuation state, expected digest when known, and completed section manifest. Preserve verified plan/publication projection paths with their source revision and digest, but treat them as publishable only after fresh reverification. Task, decision, assignment, initiative, closure, governance, handoff, index, and timeline records have no Markdown paths. These references are not bearer capabilities.
Preserve every server-returned identifier, digest, and continuation token byte-for-byte as opaque immutable return data. Never recover one by parsing, concatenating, normalizing, reconstructing, or appending a remembered suffix; copy it from a successful retained response or fresh inspection.
Also retain known live native child handles, task names, mutation scopes, and last observed host status as bounded private host context. They are not ledger rows, must not enter durable reports or user-facing links, and do not prove that a worker is still running. Preserve an unconsumed returned native-dispatch payload byte-for-byte with its exact delegation association and whether its one allowed host spawn was attempted; never reconstruct or redispatch it from memory. After compaction:
- Use
read_taskwith the known preserved task anchor to recover the task header and chronological frontier. - Use
assess_governancewhen mode history, initiative links, dependencies, or closure history affects the next decision. - Use
read_taskandconsume_assignment_evidenceonly for the specific details and evidence needed next. Resume bounded reads with the returned continuation state. Resume an assembling publication from its recorded continuation state; never restart or finalize from a guessed digest. - Reverify any projection's containment, freshness, and digest before publishing it. A stored path alone is never sufficient.
- Recover the current orchestration DAG from the exact task contract, persisted initiative revision, immutable planner plan revision/digest, decisions, and report evidence; then continue safe work. Never reconstruct or author the project solution plan—the planner report remains its sole authority.
Only the initial task-opening operation receives the project root. Recovery calls use the preserved task anchor; do not resend the root as a tool argument. Keep the root only for native worker working-directory context and a self-contained fallback brief.
For the coordinator, recovery remains coordination-only: do not reopen target project files, search the repository, rerun commands, or reconstruct technical facts through direct analysis. Delegate any missing project discovery, implementation, or project verification and recover its evidence through a report ID.
Recovery never permits root discovery or project-local artifact/state probes.
Git, manifests, caches, worktrees, existence/absence or unchanged-state, and
project-local .codex must be checked by a worker and returned as evidence.
Do not promise identifier-less enumeration. If the task anchor was not preserved, do not claim that the ledger can rediscover the task from project root, filesystem, session, or other task content. Continue from safely preserved native evidence and self-contained worker briefs when possible, or disclose the ledger context loss. Never invent an ID or create a duplicate task merely to simulate recovery.
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.
- 3d ago First seen · 95 lines · 32 tokens per session scan A c6f4ae389243
context-compaction is a skill published in the GitHub repository igovet/codex-cortex-orchestrator (1 stars, last pushed 3d ago), licensed MIT. It adds 32 tokens to every session and 1,044 once invoked, about $0.0002 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.
Other skills, from other repositories
bug-triage
Triage bugs reported in chat/issues, search for duplicates, file or update GitHub issues with full context, and push fix PRs.
ao-desktop-dev
Launch, restart, or troubleshoot the real AO Electron desktop app from this repository; run a checkout against isolated or real local AO data; combine PR branches for local UI review; and diagnose stale Electron processes, port conflicts, or preload bridge mismatches. Use whenever asked to run, open, show, or visually…
using-ao
Catalog of the AO (Agent Orchestrator) ao CLI: spawning workers, managing sessions and projects, sending messages, controlling the shared browser, previewing pages, and daemon control. Use when using the ao CLI, spawning workers, or managing AO sessions in an AO workspace.
model-router
当需要调度不同模型执行子任务时使用。根据任务类型匹配模型能力,自动选择最优模型并生成调用指令。TRIGGER: 模型调度、model dispatch、选模型、分派任务、多模型协作、路由到模型.
goal-flight
Portable Goal Flight workflow for long-running repo work: planning, dispatch, review, recovery, file-backed resume.
dev-flow
Use Dev Flow for bounded Codex software development tasks: implementation, bug fixes, refactoring, targeted testing, development delivery, and explicit parallel batches isolated in separate Git worktrees. It may be selected implicitly for those tasks or explicitly with $dev-flow-codex:dev-flow. Do not create a Dev…