reflect: Security & Code Review for AI Agents | OpenAgentSkill

Overview

Retrospective self-audit after nontrivial work: unverified assumptions, skipped items, is-this-the-right- approach — findings, not code. The step-back counterpart to iterate's refine-to-done loop.

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Reflect — step back and audit the work, not just the code

Trigger phrases: "reflect", "retro", "retrospective", "what did we miss", "step back", "introspect"

When

A nontrivial chunk of work just finished (a feature, a plan, a debugging session) and it's worth a deliberate step back before committing or moving on. This is the meta-cognitive counterpart to [[iterate]]: iterate drives a change to its exit test; reflect asks whether the exit test — and the approach behind it — was even the right one. Skip it for a one-line, unambiguous change; there's nothing to reflect on.

Measure first, then remember

Run bash .claude/hooks/session-stats.sh before answering anything below, and open the pass with what it reports. A retro built only on recall is an interview with the least reliable witness in the room: the model reconstructs a tidy story from a context that has already been summarised, and the stretches where it span on a failing approach are exactly the ones it remembers least. The script counts what actually happened — prompts, tool calls, failing loops, near-duplicate prompts, interrupts, auto-compactions.

Treat each ⚠️ as a question to answer in the pass, not a verdict: a runaway loop asks what assumption kept failing; a repeated prompt asks what context never landed; an interrupt asks where intent diverged; an auto compaction asks what state was silently dropped. If the numbers and your recollection disagree, the numbers are the record. If the script is missing (a plugin install has no .claude/hooks/), say the retro is recall-based — do not present recall as measurement.

The pass

Ask each question honestly and write the answer, not a reassurance:

Unverified assumptions — what did I take for granted that I never checked? Name each one and whether it was actually confirmed (read the code / ran the flow) or just assumed.
What got skipped — an edge case, an error path, a test, a doc update, a security/privacy angle. What was silently dropped, and was that a conscious trade-off or an oversight?
Right approach? — with hindsight, is this the direction we'd still pick? Did scope creep in? Is there a simpler path we walked past ([[code-review]] altitude: could 200 lines be 50)?
Evidence gap — which claims of "done" / "works" rest on having observed behavior vs. on inference? An unobserved "it works" is a finding (see [[iterate]] / verify: drive the real flow).
What I'd tell the next session — the one thing a fresh context most needs to know (feeds [[handoff]]).

Guardrails

Findings, not code. Reflect surfaces gaps; the relevant specialist fixes them (a found gap re-enters [[iterate]] or the author agent). It changes nothing itself.
Honest, not performative. A retro that only confirms good work is a failed retro. If nothing is found, say specifically why you're confident (what was verified), don't just assert it.
Bounded. One pass, concrete findings, then act or close — not an open rumination loop.
Token discipline ([[token-budget]]): a short ranked findings list to the main thread; detail to a file.

DoD (this skill's contribution)

session-stats.sh was run and every ⚠️ it raised is answered — or its absence is stated.
Assumptions are labeled verified vs. assumed; unverified ones are flagged, not buried.
Skipped items and any scope creep are named explicitly.
Every "done/works" claim is traced to observed evidence or marked as inference.
Findings are actionable (each maps to a fix, a follow-up, or an accepted trade-off).

View source ↗

File metadata

name: reflect
description: |
  Retrospective self-audit after nontrivial work: unverified assumptions, skipped items, is-this-the-right-
  approach — findings, not code. The step-back counterpart to iterate's refine-to-done loop.

View original text

---
name: reflect
description: |
Retrospective self-audit after nontrivial work: unverified assumptions, skipped items, is-this-the-right-
approach — findings, not code. The step-back counterpart to iterate's refine-to-done loop.
---

# Reflect — step back and audit the work, not just the code

Trigger phrases: "reflect", "retro", "retrospective", "what did we miss", "step back", "introspect"

## When
A nontrivial chunk of work just finished (a feature, a plan, a debugging session) and it's worth a deliberate
step back **before** committing or moving on. This is the meta-cognitive counterpart to [[iterate]]: iterate
drives a change *to* its exit test; reflect asks whether the exit test — and the approach behind it — was even
the right one. Skip it for a one-line, unambiguous change; there's nothing to reflect on.

## Measure first, then remember
Run **`bash .claude/hooks/session-stats.sh`** before answering anything below, and open the pass with what it
reports. A retro built only on recall is an interview with the least reliable witness in the room: the model
reconstructs a tidy story from a context that has already been summarised, and the stretches where it span on a
failing approach are exactly the ones it remembers least. The script counts what actually happened — prompts,
tool calls, failing loops, near-duplicate prompts, interrupts, auto-compactions.

Treat each ⚠️ as a **question to answer in the pass**, not a verdict: a runaway loop asks *what assumption kept
failing*; a repeated prompt asks *what context never landed*; an interrupt asks *where intent diverged*; an auto
compaction asks *what state was silently dropped*. If the numbers and your recollection disagree, the numbers are
the record. If the script is missing (a plugin install has no `.claude/hooks/`), say the retro is recall-based —
do not present recall as measurement.

## The pass
Ask each question honestly and write the answer, not a reassurance:
1. **Unverified assumptions** — what did I take for granted that I never checked? Name each one and whether it
was actually confirmed (read the code / ran the flow) or just assumed.
2. **What got skipped** — an edge case, an error path, a test, a doc update, a security/privacy angle. What was
silently dropped, and was that a conscious trade-off or an oversight?
3. **Right approach?** — with hindsight, is this the direction we'd still pick? Did scope creep in? Is there a
simpler path we walked past ([[code-review]] altitude: could 200 lines be 50)?
4. **Evidence gap** — which claims of "done" / "works" rest on having *observed* behavior vs. on inference?
An unobserved "it works" is a finding (see [[iterate]] / verify: drive the real flow).
5. **What I'd tell the next session** — the one thing a fresh context most needs to know (feeds [[handoff]]).

## Guardrails
- **Findings, not code.** Reflect surfaces gaps; the relevant specialist fixes them (a found gap re-enters
[[iterate]] or the author agent). It changes nothing itself.
- **Honest, not performative.** A retro that only confirms good work is a failed retro. If nothing is found,
say specifically *why* you're confident (what was verified), don't just assert it.
- **Bounded.** One pass, concrete findings, then act or close — not an open rumination loop.
- **Token discipline** ([[token-budget]]): a short ranked findings list to the main thread; detail to a file.

## DoD (this skill's contribution)
- `session-stats.sh` was run and every ⚠️ it raised is answered — or its absence is stated.
- Assumptions are labeled verified vs. assumed; unverified ones are flagged, not buried.
- Skipped items and any scope creep are named explicitly.
- Every "done/works" claim is traced to observed evidence or marked as inference.
- Findings are actionable (each maps to a fix, a follow-up, or an accepted trade-off).

Review the source

Skill source recorded

Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.

Review before install: Avoid automatic install

License: MIT

Dependency or permission surface needs review
Permission surface may require sandboxing
Low GitHub adoption signal
AI review approval is missing
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 24 GitHub stars
Stars/forks activity: 24 stars, 4 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, credential or environment access
Permission surface: secrets or environment access, shell or command execution
Review status: AI review approval is missing

Open full audit

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Start with one small task

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Source & usage notes

IndexedStatic Checked

Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.

Source repository: byerlikaya/claude-starter-kit
License: MIT
Version: Unknown
Last GitHub push: Sep 20, 2026
Registry updated: Sep 20, 2026
Instruction path: claude-starter/skills/reflect/SKILL.md @ 5b7b151ee359

Version reported in registry metadata; check source releases before relying on it.

Quality

55/100

Promising

Trust

60/100

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More details

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