Install
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npx agentmarket install skill/awrshift-session-review
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About
Use cases: design, backend, testing, agent-building
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/session-review
What's inside
- Skill name
session-review- Description
- End-of-session adversarial review loop. Assemble the session's work into a role-assigned, self-contained brief, then run independent reviewers in parallel — an isolated code-reader (the idea-validator agent) that reads the ACTUAL files and web-checks technology currency, plus an external-family model if you have one — synthesize where they agree vs diverge, apply the cheap-safe fixes immediately, record a measurable plan for the rest, and CHALLENGE reviewer claims you disagree with (never blind-accept). Use at the close of a substantive coding or design session, when the user says "session review", "review my session", "stress-test this session", or types /session-review. Skip for trivial one-off edits.
- License
- MIT
- Instructions
- 79 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Session Review — the adversarial closing loop
Stress-test a session's work **before it sets**, using reviewers who don't share your blind
spots. You wrote the work, so you are the worst person to spot what you assumed. The loop ends
in *action*: cheap-safe fixes applied immediately, the rest recorded as a measurable plan, and
anything you disagree with explicitly challenged — not silently accepted, not silently dropped.
Invocation is usually EXPLICIT (`/session-review`) — "review" is something the agent does
natively, so don't expect auto-triggering; invoke it by name at session close.
## The loop
### 1. Assemble the brief (the load-bearing step)
Write ONE self-contained markdown brief (e.g. to `/tmp/<repo>-session-review.md`). It is the
only context the reviewers get. It must contain:
- **An assigned role** that fits the work ("Principal Engineer" for a feature slice, "Security
reviewer" for auth work) — the role is the lens.
- **Project context** a stranger can follow, **the session goal**, and **what was built**, with
concrete file:line references.
- **The specific decision points you most want challenged** — and for anything that turns on
CURRENT best practice, an explicit ask to web-check with sources.
- **What to return** — a structured verdict with severity, file refs, a short MEASURABLE plan.
Never let the brief be the reviewer's only window: tell the code-reader explicitly
**"do not trust this summary — read the actual files."** Your summary is where your blind
spots live.
### 2. Run the reviewers IN PARALLEL (same message)
- **Reviewer A — the isolated code-reader.** Spawn `idea-validator` pointed at the brief AND
the actual files, with the currency instruction: "web-check whether every library / runtime /
pattern I chose is still the right choice this year, cite sources." Without that line it only
verifies claims you explicitly made — dated tech slips through.
- **Reviewer B — an external-family model** (if available), reviewing from the brief only.
Different training distribution, different blind spots; lean on it for concept and
tech-currency, not file-level facts.
- One reviewer alone (A) is still a valid light review — note the absence and proceed.
### 3. Synthesize — agree vs diverge
Where reviewers independently land on the same finding — high-confidence signal, promote it.
Where they diverge — the highest-value rows: adjudicate on merits. On facts about the code the
code-reader wins; **never count votes**. The full adjudication procedure — acceptance layers, the
claim→check table, how a disputed finding is allowed to close — is
`reference/orchestrator-fact-check.md`.
### 4. Act (the loop must end in action)
- **Accept now:** cheap, safe, low-blast-radius fixes — apply this session, verify by artifact
(typecheck / lint / tests), don't round toward success.
- **Plan, measured:** larger items become backlog entries, each with a metric for the win.
A plan item with no measurable outcome is a task for task's sake — drop it.
- **Challenge:** for anything you disagree with, write back WHY. Holding your ground with a
reason is the partnership — blind acceptance defeats the loop.
### 5. Measure the outcome
Close with what the loop produced: findings found / applied / planned / challenged, what you
had missed, what tech-currency facts updated. That's how you know it earned its tokens.
### 6. Retrospective on the machine (so quality compounds)
Steps 1-5 review the WORK; this reviews the SYSTEM that produced it. Three questions, backed by
what actually happened this session:
- What foundation element (a rule, a MEMORY line, a handoff, a pattern) EARNED its keep —
name the concrete moment. Keep those.
- Where did the foundation give friction or a gap — stale, duplicated, missing? Fix/merge/prune.
- How did the orchestration go — right agents, good-enough briefs, honest adjudication?
(`reference/parallel-development.md` for the fan-out defaults and stop-conditions.)
A CONFIRMED finding is worth a row in the findings-class registry, and a class recurring three
times earns promotion into the cheapest layer that prevents it — `reference/review-loop.md`.
Output: at most 1-3 minimal, evidence-backed adjustments, biased to **subtract before add**.
"Keep doing" is a valid output — most sessions should change the foundation little.
## Guardrails
- Never blind-accept. Rejecting a finding with a reason is a success, not a failure.
- Separate "now" from "plan" by RISK, not importance — big-blast-radius changes at the end of a
long session belong in the plan, done fresh.
- Scale to the work: small session → light brief, single reviewer; architecture change → the
full role-assigned, fact-checked, multi-reviewer pass.From awrshift/agent-memory-kit, MIT.
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memory-audit
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Audit MEMORY.md against the memory discipline — oversized sections, settled multi-session patterns that belong in knowledge/concepts/, session-headed…
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second-opinion
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Cross-check the agent's own answer with independent reviewers before bringing it to the user.
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qa-sweep
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Signals
- Stars
- 34
- Forks
- 9
- Open issues
- 1
- Last commit (this folder)
- Aug 18, 2026 (2 months ago)
- Last release
- Oct 22, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/awrshift/agent-memory-kit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from awrshift
- 0.658score
system-audit
awrshift
Periodic evidence-based self-audit of the whole agent system — the orchestrator, its docs/SSOTs, rules, memory, subagents, tools, infra and the work it claims…
SkillAFreshness: A★ 34Claude Code +9 - 0.653score
close-session
awrshift
End-of-session ritual — audit today's patterns against accumulated memory, propose promotions, refresh MEMORY.md, and write the session handoff.
SkillAFreshness: A★ 34Claude Code +9 - 0.653score
code-sync
awrshift
Reconcile the project's documents with what the code now shows, after a merge or at the end of a build: spec statuses (building → done only with a named gate…
SkillAFreshness: A★ 34Claude Code +9 - 0.653score
document
awrshift
Write the human-facing prose about a change — PR body · changelog entry · release note · postmortem — and put it in the right file.
SkillAFreshness: A★ 34Claude Code +9 - 0.653score
memory-audit
awrshift
Audit MEMORY.md against the memory discipline — oversized sections, settled multi-session patterns that belong in knowledge/concepts/, session-headed…
SkillAFreshness: A★ 34Claude Code +9 - 0.653score
second-opinion
awrshift
Cross-check the agent's own answer with independent reviewers before bringing it to the user.
SkillAFreshness: A★ 34Claude Code +9
Cite this page
session-review skill. Agent Mart. https://agentmart.dev/skills/awrshift-session-review (last updated 2026-10-24)