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 axiomantic/spellbook --skill reflexiongit clone --depth 1 https://github.com/axiomantic/spellbookWrote 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/axiomantic/spellbook/reflexion)<a href="https://agentmods.dev/skills/axiomantic/spellbook/reflexion"><img src="https://agentmods.dev/badge/skills/axiomantic/spellbook/reflexion/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/axiomantic/spellbook/reflexion"><img src="https://agentmods.dev/badge/skills/axiomantic/spellbook/reflexion.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 | $0.00059 | $0.01029 |
| Opus 5.5 | $0.00024 | $0.00412 |
| Sonnet 5.5 | $0.00012 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
reflexion 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 1mo 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.
Reflexion
Reasoning Schema
Before analysis: feature name, stage, iteration number, feedback items, previous patterns.
After analysis: root causes identified, reflections stored, patterns checked, retry guidance generated.
Invariant Principles
- Every Failure Teaches: ITERATE verdicts contain actionable information.
- Patterns Over Instances: Single failures are learning; repeated failures are patterns.
- Root Cause Focus: Symptoms are feedback; causes are lessons.
- Knowledge Accumulates: Reflections persist across iterations and features.
- Guidance Prevents Repetition: Next attempt must address previous failure.
Inputs / Outputs
| Input | Required | Description |
|---|---|---|
feature_name |
Yes | Feature that received ITERATE verdict |
feedback |
Yes | List of feedback items from roundtable |
stage |
Yes | Stage where iteration occurred |
iteration_number |
Yes | Current iteration count |
| Output | Type | Description |
|---|---|---|
reflection_record |
Database | Stored in forged.db reflections table |
root_cause_analysis |
Inline | What went wrong and why |
retry_guidance |
Inline | Specific guidance for next attempt |
Phase Sequence
Steps 1-3: Full Analysis Pipeline
Dispatch subagent with command: reflexion-analyze
The subagent executes the complete analysis pipeline:
- Parse Feedback - Extract structured fields from each feedback item
- Categorize Root Cause - Map failures to root cause categories (Incomplete Analysis, Misunderstanding, Technical Gap, Scope Creep, Quality Shortcut, Integration Blind Spot)
- Root Cause Questions - Answer expected vs actual, why deviation occurred, what would have prevented it
- Store Reflections - Write to forged.db with PENDING status
- Generate Retry Guidance - Produce specific correction guidance for the re-invoked skill
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.
- 1mo ago First seen · 124 lines · 59 tokens per session scan A 0c522174deed
reflexion is a skill published in the GitHub repository axiomantic/spellbook (10 stars, last pushed 2d ago), licensed MIT. It adds 59 tokens to every session and 1,029 once invoked, about $0.0002 per session on Opus 5.5. 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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