codesage-revalidate

A command that checks whether previously reported code problems still exist after changes. It selects findings by ID, feature, or project-wide status and updates their review state.

In plain words
What is it for?
Recheck one issue, one feature, or all open findings, then identify confirmed regressions and reconcile the results with stored review records.
Why use it?
It prevents a finding from being treated as fixed merely because it was omitted from a later review.

Command

Part of the codesage-tools plugin — 1 skill, 10 commands, 2 agents, 1 hook shipped together

Install

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.

agentmods
npx agentmods add commands/iliaal/codesage/codesage-revalidate
Clone the repo
git clone --depth 1 https://github.com/iliaal/codesage

Or install codesage-tools, the plugin that ships this one along with the rest of its 1 skill, 10 commands, 2 agents, 1 hook.

Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,392 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00017 $0.01392
Opus 5 $0.00009 $0.00696
Sonnet 5 $0.00003 $0.00278
Haiku 4.5 $0.00002 $0.00139

Measured 3d ago against content hash 802f1b13a7c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codesage-revalidate 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 3d 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.

plugins/codesage-tools/commands/codesage-revalidate.md · 82 lines

How it starts

The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Revalidate CodeSage findings

Review the owning feature again, apply the same evidence and identity gates as /codesage-review, and reconcile through codesage-review-state.

Parse and resolve

Require an absolute onboarded project path and exactly one selector:

  • --finding <id>: locate one finding under $PROJECT/.codesage/findings/*.json.

Every .codesage/... path below lives under the project, not the session's working directory — always write it as $PROJECT/.codesage/....

  • --feature <id>: select findings in one feature.
  • --all: select across the project, grouped by feature.

--status defaults to open. --max-verify-findings defaults to 5 and caps new regression candidates sent to each feature verifier.

If no findings match, print the selector and available status counts, then stop. Warn before dispatch when the selection spans more than 50 findings or 20 features.

Prepare feature-local inputs

Use rev_$(date -u +%Y%m%dT%H%M%SZ) as RUN_ID. For each feature:

  1. Read entry_path, title, kind, and feature_files from the findings document. For legacy documents missing metadata, call mcp__codesage__list_features(project, limit=200) once and join by feature_id.
  2. Write the feature record under $PROJECT/.codesage/reviews/<RUN_ID>/features/.
  3. Project only the targeted findings. Include ID, location, severity, category, title, summary, evidence, suggested fix, and status. Strip history. Write their ID array to $PROJECT/.codesage/reviews/<RUN_ID>/targets/<feature_id>.json.
  4. Call mcp__codesage__assess_risk_batch once for the feature's entry and owned paths. Write the batch-shaped result to $PROJECT/.codesage/reviews/<RUN_ID>/risk/<feature_id>.json.
  5. Compute changed slice paths since reviewed_at_sha, when present, and union them with the targeted findings' paths. Write the array to $PROJECT/.codesage/reviews/<RUN_ID>/changed/<feature_id>.json.
  6. Run codesage-review-state plan-feature with the feature, risk, and changed/target path files, passing --project "$PROJECT" so deleted files drop out of the plan instead of deadlocking coverage. Write $PROJECT/.codesage/reviews/<RUN_ID>/plans/<feature_id>.json and pass it to the reviewer as must_read.

Read the full file on GitHub · 82 lines

Changes

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.

  1. 3d ago First seen · 82 lines · 17 tokens per session scan A 802f1b13a7c8

Subscribe to this mod's changes

codesage-revalidate is a command published in the GitHub repository iliaal/codesage (20 stars, last pushed 3d ago), licensed MIT. It adds 17 tokens to every session and 1,392 once invoked, about $0.0001 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.