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 runxhq/runx --skill reflect-digestgit clone --depth 1 https://github.com/runxhq/runxWrote 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/runxhq/runx/reflect-digest)<a href="https://agentmods.dev/skills/runxhq/runx/reflect-digest"><img src="https://agentmods.dev/badge/skills/runxhq/runx/reflect-digest/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/runxhq/runx/reflect-digest"><img src="https://agentmods.dev/badge/skills/runxhq/runx/reflect-digest.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 | $0.00046 | $0.00469 |
| Opus 5 | $0.00023 | $0.00234 |
| Sonnet 5 | $0.00009 | $0.00094 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
reflect-digest 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.
What it actually says
Reflect Digest
Turn repeated post-run reflection signals into bounded improvement work without re-diagnosing one receipt or drafting a parallel pull-request artifact.
The graph reads durable reflect events through data-store, admits explicit
replay projections when supplied, applies deterministic confidence and support
floors, then asks one bounded agent act to describe at most one improvement per
skill. A final deterministic step verifies every cited receipt belongs to that
skill's group and emits a skill-lab improve handoff.
The skill does not write a package, open a pull request, publish, or invoke the mutating improvement runner. The handoff preserves the target, objective, receipt evidence, and non-goals for later governed execution.
Composes
data-store#list_stream_heads
Inputs
reflect_projections: explicit projections for replay; otherwise durable state is read fromdata_source_refandstate_resource.skill_filter,since: optional read bounds.min_support: minimum number of admitted projections for one skill.min_confidence: minimum confidence for each admitted projection.
Outputs
proposals: validated skill-specific improvement opportunities.skill_lab_handoffs: executable request packets namingskill-lab, runnerimprove, target directory, objective, primary receipt, evidence summary, and supporting receipt ids.
Agent task contracts
reflect-digest
Review each grouped reflection independently. Return at most one proposal per skill_ref, and return an empty proposals array when no group supports a bounded fix. Every proposal must contain skill_ref, repo-relative target_dir, objective, evidence_summary, supporting_receipt_ids, and boundaries. Receipt ids must come from that group. Do not diagnose a single run again, author code, draft a pull request, publish, or mutate the target package.
What ships with it
2 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.
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 · 53 lines · 46 tokens per session scan A d5157d4d018f
reflect-digest is a skill published in the GitHub repository runxhq/runx (87 stars, last pushed 3d ago), licensed Apache-2.0. It adds 46 tokens to every session and 469 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 2026-09-03.
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