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 AlexZio00/sovereign-skills --skill session-checkpointgit clone --depth 1 https://github.com/AlexZio00/sovereign-skillsWrote 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/alexzio00/sovereign-skills/session-checkpoint)<a href="https://agentmods.dev/skills/alexzio00/sovereign-skills/session-checkpoint"><img src="https://agentmods.dev/badge/skills/alexzio00/sovereign-skills/session-checkpoint/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/alexzio00/sovereign-skills/session-checkpoint"><img src="https://agentmods.dev/badge/skills/alexzio00/sovereign-skills/session-checkpoint.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 | $0.00050 | $0.15428 |
| Opus 5.5 | $0.00020 | $0.06171 |
| Sonnet 5.5 | $0.00010 | $0.03086 |
| Haiku 4.5 | $0.00005 | $0.01543 |
Grade C, and why
session-checkpoint scanned grade C with 1 finding 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 yesterday.
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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
To delete: rm -rf ~/.claude/.harness/snapshots/<skill-name>/<YYYY-MM-DD-*>/ How it starts
The opening of the file, as written. The whole thing — 784 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Checkpoint
Dominant Variable
Has it been clearly identified in this session what the next session absolutely must know? If identification is incomplete, dive deeper into Phase 1 — compaction comes after that.
Key Assumptions
- Handoff file path is writable —
memory/session-handoff-LATEST.md. If broken: verify path then fail-fast (Error Recovery:tool_failure). - MEMORY.md / context-log.md exist — Phase 3 storage targets. If broken: create files then proceed. If creation fails, report to user.
- Session conversation is sufficient for Phase 1 extraction — minimum 5+ exchanges. If broken: apply Discard If (session too short) or generate minimal handoff only.
- Reflexion extraction (Phase 1.7) is possible — conversation exists with failure/dissatisfaction signals. If broken: "no new lessons" handling.
- Transcript tool-call output may be truncated or terminal, not confirmed — a timed-out or killed tool call can leave a bare terminal signal in the transcript (e.g. an exit code like
143) with no corresponding stdout. That signal alone does not establish what actually happened. If broken: do not record it in the handoff or memory as a settled fact — tag it[UNVERIFIED]and name what's missing (e.g. "exit 143, no stdout captured").
Trigger
/session-checkpoint- "checkpoint"
- "checkpoint before compact"
- (Korean trigger phrases are listed in the frontmatter
triggers.)
File formats this skill writes (handoff, tasks/lessons.md, STATE.md, MEMORY.md, context-log.md, invocation ledger): https://github.com/AlexZio00/sovereign-skills/blob/master/docs/FILE-CONVENTIONS.md
Discard If
- Session has no code changes and no pending decisions → compaction unnecessary
- Checkpoint already completed this session → duplicate run unnecessary. Unless 10+ additional tool calls have happened since — that's not a duplicate, it's the Growth Re-check trigger below (Phase 1.6.5).
- Only simple handoff update desired, not compaction → modify
memory/session-handoff-LATEST.mddirectly
What ships with it
9 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.
- .claude-plugin/plugin.json 584 B
- agents/openai.yaml 169 B
- scripts/ct_promotion_queue.py 16 KB runs code
- scripts/handoff_attestation.py 10 KB runs code
- scripts/handoff_due_check.py 7.5 KB runs code
- scripts/test_ct_promotion_queue.py 22 KB runs code
- scripts/test_handoff_due_check.py 5.5 KB runs code
- scripts/test_validate_memory_claims.py 7.4 KB runs code
- scripts/validate_memory_claims.py 6.4 KB runs code
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.
- yesterday Changed · +1 lines 41aa9a83adc3
- 14d ago Changed · +9 lines · -3 tokens per session be45e7a35ed5
- 26d ago Changed 91f7dc812bb0
- 1mo ago Changed · +4 lines · +9 tokens per session 20b5ce155190
- 1mo ago Changed · +6 lines 02a376e95305
- 1mo ago Changed · +15 lines 1e8d8ec47aea
- 2mo ago First seen · 749 lines · 44 tokens per session scan C 38744e829758
session-checkpoint is a skill published in the GitHub repository AlexZio00/sovereign-skills (150 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 15,428 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
use-cli-recall
A command-line tool for searching records of earlier coding sessions and checking the current code with fast file-search tools.
retro
Mine review artifacts for recurring patterns and write project learnings.
learning
Capture a durable project lesson in Agent Runway memory. Use when the developer says "learning", "remember this", "save this lesson", "add to memory", or when a completed task reveals a recurring decision, failure, convention, or guardrail that should influence future work.
nobrainer-review
Use when the owner says nb-review, deep-audit, deep-code-review, or deep-autoreview; explicitly requests an evidence-gated CLOSEOUT, adversarial BUGHUNT or RELEASEGATE; or needs final findings filtered to verified actionable defects. Use nobrainer-build for ordinary implementation and correction work.
nobrainer-wiki
Use when the owner says nb-wiki, nb-add, nb-get, nb-tidy, or llm-wiki; asks to create or query a wiki, save durable knowledge, or safely audit and maintain a Markdown knowledge base across projects or sessions; do not use for transient task state.
pr-memory-reviewer
Use when the parent pipeline routes a memory-related PR review request. Reads the diff and emits structured memoryFindings using the memory specialist heuristics.