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 yogsoth-ai/de-anthropocentric-research-engine --skill checkpoint-and-recovergit clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engineWrote 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/yogsoth-ai/de-anthropocentric-research-engine/checkpoint-and-recover)<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/checkpoint-and-recover"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/checkpoint-and-recover/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/yogsoth-ai/de-anthropocentric-research-engine/checkpoint-and-recover"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/checkpoint-and-recover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00017 | $0.00814 |
| Opus 5 | $0.00009 | $0.00407 |
| Sonnet 5 | $0.00003 | $0.00163 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
checkpoint-and-recover 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 8d 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tactic: Checkpoint and Recover
Orchestration Pattern
FUNCTION checkpoint_and_recover(task, execute_fn):
// Pre-execution checkpoint
checkpoint = {
timestamp: now(),
task_id: task.id,
state: capture_current_state(),
files_modified: [],
outputs_produced: []
}
save_checkpoint(checkpoint)
TRY:
// Execute with monitoring
monitor = SPAWN execution-monitoring(task)
result = execute_fn(task)
// Post-execution validation
IF monitor.anomalies_detected:
RAISE AnomalyError(monitor.anomalies)
END
// Validate result integrity
validated = SPAWN result-collection(result, task.success_criterion)
IF validated.complete AND validated.consistent:
// Success — archive checkpoint (keep for audit trail)
archive_checkpoint(checkpoint)
RETURN {status: DONE, result: validated}
ELSE:
// Partial success — decide whether to keep or rollback
IF validated.partial_value > threshold:
archive_checkpoint(checkpoint)
RETURN {status: PARTIAL, result: validated, missing: validated.gaps}
ELSE:
restore_state(checkpoint)
RETURN {status: ROLLED_BACK, reason: validated.failure_reason}
END
END
CATCH error:
// Failure — diagnose and recover
diagnosis = diagnose_failure(error, checkpoint, task)
SWITCH diagnosis.severity:
CASE TRANSIENT:
// Retry without rollback (e.g., network timeout)
RETURN {status: RETRY, reason: diagnosis}
CASE CORRUPTING:
// Rollback to checkpoint
restore_state(checkpoint)
RETURN {status: ROLLED_BACK, reason: diagnosis}
CASE FATAL:
// Rollback and escalate
restore_state(checkpoint)
RETURN {status: FATAL, reason: diagnosis, escalate: true}
END
END
END
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.
- 8d ago First seen · 124 lines · 17 tokens per session scan A c911ce4ed6c3
checkpoint-and-recover is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (456 stars, last pushed 2d ago), licensed Apache-2.0. It adds 17 tokens to every session and 814 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 2026-09-03.
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