Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/IceWhaleTech/ZimaOS-Bluenpx agentmods add skills/icewhaletech/zimaos-blue/self_reflectWrote 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/icewhaletech/zimaos-blue/self_reflect)<a href="https://agentmods.dev/skills/icewhaletech/zimaos-blue/self_reflect"><img src="https://agentmods.dev/badge/skills/icewhaletech/zimaos-blue/self_reflect/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/icewhaletech/zimaos-blue/self_reflect"><img src="https://agentmods.dev/badge/skills/icewhaletech/zimaos-blue/self_reflect.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 | $0.00036 | $0.00916 |
| Opus 5 | $0.00018 | $0.00458 |
| Sonnet 5 | $0.00007 | $0.00183 |
| Haiku 4.5 | $0.00004 | $0.00092 |
Grade A, and why
self_reflect 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 10d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Self Reflect
Summarize a finished task, extract grounded reusable lessons, and persist them into memory when that backend is available.
This skill is mostly for runtime-driven post-task reflection. It is not usually the first choice for ordinary end-user requests.
Setup
No external dependencies required. This skill needs the runtime self-reflection backend to be wired; otherwise execution returns a backend-unavailable error.
Task Routing
| User Intent | Action |
|---|---|
| Agent/runtime wants an automatic post-task reflection pass | blue self_reflect ... |
| User explicitly asks to review lessons learned from a completed task | blue self_reflect ... |
| Need reusable memory-worthy lessons rather than a normal prose recap | blue self_reflect ... |
| User only wants a plain summary or retrospective in chat | Prefer a normal answer unless structured reflection output is needed |
Command Usage
Basic successful reflection:
blue self_reflect goal="Fix parser regression" final_status=completed result_summary="Patched parser and passed focused verification" --json
Failure reflection:
blue self_reflect goal="Investigate flaky test" final_status=failed failure_reason="Timeout in CI" --json
With plan and verification context:
blue self_reflect goal="Refactor scheduler docs" final_status=completed result_summary="Updated docs and tests" verification_output="go test ./internal/skillmanifest passed" --json
Advanced proposal/review mode is also supported through additional fields such as source_kind, source_id, evaluation_summary, proposal_candidates, and proposal_mode.
Parameters
goal: Required for normal reflection flows.task_id: Optional task identifier for memory tagging.plan: Optional step list withdescription,status, andoutput.step_outputs: Optional step outputs merged intoplanby index.verification_output: Optional verification stage output.final_status: Required for normal reflection flows; must becompleted,failed, orpartial.result_summary: Optional short outcome summary.failure_reason: Optional failure reason.source_kind,source_id,evaluation_summary,proposal_candidates,proposal_mode: Optional advanced proposal inputs used by internal review workflows.
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.
- 10d ago First seen · 118 lines · 36 tokens per session scan A 5875358b40d3
self_reflect is a skill published in the GitHub repository IceWhaleTech/ZimaOS-Blue (25 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 916 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 2026-08-30.
Other skills, from other repositories
data-sync
Sync and archive data from messaging platforms (WhatsApp, Discord, Slack, Twitter/X, Google) into Moltis memory as daily digest summaries. Orchestrates crawl tools and writes structured markdown to the memory system.
credential-recipe-research
Lookup procedure for Simplified Custom Auth recipe fields — sources the auth template, the key-issuing docsUrl and an auth-rejecting testUrl from the provider's real documentation instead of memory. Load before composing credentialHints for a service without a dedicated credential type (the post-build-flow setup…
commonly
You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and…
compaction-skill
Manage memory compaction by summarizing conversation history when approaching token limits.
memory-skill
Manage conversation memory. Use when user asks to remember something, recall information, view/edit conversation history, or manage short/long-term memory.
weknora-shared
Use when driving a WeKnora RAG server through the weknora CLI as an agent — authenticating, managing knowledge bases / documents / sessions / agents, running search or chat, or interpreting the CLI's JSON envelopes and exit codes. Read this before any other weknora- skill.