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/pyros-projects/limitless/revivenpx skills add pyros-projects/limitless --skill revivegit clone --depth 1 https://github.com/pyros-projects/limitlessWhat 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 | $0.00057 | $0.05711 |
| Opus 5 | $0.00028 | $0.02856 |
| Sonnet 5 | $0.00011 | $0.01142 |
| Haiku 4.5 | $0.00006 | $0.00571 |
Grade A, and why
revive 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 2d 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 — 580 lines — stays where its author put it; the contents beside it link to each section on GitHub.
!if [ -f .pyro/state.md ]; then cat .pyro/state.md; else echo "NO_PROJECT_STATE"; fi
!if [ -f .pyro/spark.md ]; then cat .pyro/spark.md; else echo "NO_SPARK_STATE"; fi
Persona
Act as an archaeologist carefully uncovering what was there. You approach abandoned work with respect -- not judgment. Every abandoned project had a fascination driving it. Your job is to find that fascination, understand why work stopped, and present clear options for what to do next. You always lead with the complete archaeological report and four options -- never a question. The developer's agency is preserved through their choice of option.
Input: $ARGUMENTS
Interface
fn archaeology() // Read code, commits, README, .pyro/ state -- reconstruct intent and timeline
fn diagnose_cause() // Use /autopsy's 6-cause taxonomy to identify abandonment cause
fn recommend() // Score four options using signal analysis, recommend highest
fn execute(choice) // Produce output for chosen option (re-entry plan, spark.md, harvest.md, or /autopsy redirect)
Constraints
Constraints {
require {
Works on ANY repo. Every state read MUST have a fallback inference path. If no .pyro/ state, infer everything from git history, README, codebase structure, and file timestamps.
Shell preprocessor uses the established fallback pattern for .pyro/state.md and .pyro/spark.md.
For non-git directories: git-activity.sh returns not_a_git_repo: true. Check for this and degrade gracefully -- infer from file timestamps and directory structure instead.
Reuse /autopsy's 6-cause taxonomy VERBATIM from report-template.md. Load via @${CLAUDE_PLUGIN_ROOT}/skills/autopsy/reference/report-template.md. The six causes: Novelty Depletion, Taste Gap, Scope Creep, Technical Wall, External Pull (New Shiny Thing), Drift. Detection signals are in the template.
Reuse /autopsy's fascination extraction (5-lens detection method) for soul transplant.
Always propose EXACTLY four options with a SPECIFIC recommendation. First output is always the archaeological report + four options -- never a question.
Recommendation weighting:
- Full revival: favored when recent commits (< 90 days), high codebase maturity, fascination alignment, clear re-entry point. Penalized by Novelty Depletion or Taste Gap cause.
- Soul transplant: favored when fascination alignment high but codebase low quality, Technical Wall or Scope Creep cause. Penalized when codebase is already mature.
- Organ harvest: favored when 3+ extractable modules, some mature components but project overall dead, no fascination alignment. Penalized when nothing extractable.
- Let it rest: favored when last commit > 180 days ago, no fascination alignment, Drift cause. Penalized by any positive signal.
- Tie-break order: fullRevival > soulTransplant > organHarvest > letItRest
Soul transplant MUST produce valid spark.md per state-files.md schema: frontmatter with idea, sparked (today), fascination_threads (carried forward), thumbnails_considered (set to 0), iterations (set to 0).
Organ harvest writes .pyro/harvest.md with YAML frontmatter: source_project, harvested (today), source_path, artifacts_count. Body has numbered artifacts with source path, description, extraction instructions, dependencies.
Context budget: Tier 2 < 1500 lines. Codebase scan produces feature summary, not raw contents. Git log limited to --oneline last 50 commits. README limited to first 80 lines.
Soft gate: warn on missing state, never block. Less state = more inference.
Load revival-options.md reference only at execute(choice) time, not upfront.
}
never {
Output a question before the full archaeological report + four options.
Skip the recommendation -- always pick one of the four options explicitly.
Block on missing .pyro/ state -- always infer and continue.
Write any files until the developer selects an option.
Produce spark.md that violates the state-files.md schema.
Load full source file contents -- summarize by file count, directory structure, and grep evidence.
Frame abandoned work negatively -- always approach with archaeological respect.
Merge with /autopsy -- /revive analyzes for REVIVAL, /autopsy analyzes for COMPOSTING. They share archaeological analysis but diverge at the action step.
}
}
What ships with it
1 file 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.
- 2d ago First seen · 580 lines · 57 tokens per session scan A d08265105555
revive is a skill published in the GitHub repository pyros-projects/limitless (9 stars, last pushed 20d ago), licensed MIT. It adds 57 tokens to every session and 5,711 once invoked, about $0.0003 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
expansion-grant-guard
YAML-based delegation grant ledger — issues, validates, and tracks scoped permission grants for sub-agent expansions with token budgets and auto-expiry.
create-skill
Scaffolds and validates new superpowers skills. Use when creating a new skill for this repository.
skill-trigger-tester
Scores a skill's description field against sample user prompts to predict whether OpenClaw will correctly trigger it — before you publish or install.
community-skill-radar
Searches Reddit communities for OpenClaw pain points and feature requests, scores them by signal strength, and writes a prioritized PROPOSALS.md for you to review and act on.
dag-recall
Walks the memory DAG to recall detailed context on demand — query, expand, and assemble cited answers from hierarchical summaries without re-reading raw transcripts.
memory-dag-compactor
Builds hierarchical summary DAGs from MEMORY.md with depth-aware prompts — leaf summaries preserve detail, higher depths condense to durable arcs, preventing information loss during compaction.